Sage X3 Archives

Extending Credit to Customers: Benefits, Risks & Best Practices

On the surface, extending credit to customers is a no-brainer since it can be a great way to attract customers and build profitable, long-term relationships with them. But there is more to it than that. Offering credit to a customer, especially a new customer, is not something to jump into in your haste to close a deal.

Here’s why:

DSO fluctuates with revenue and other short-term changes.
Because of its tendency to fluctuate, analyzing DSO over a period of less than a year can be misleading.
DSO takes into account only credit sales, not cash sales.
Always look at your DSO in context with your company’s terms.

As the above statistics show, there is a certain risk that you won’t get paid on time if you extend credit. This can cause trouble with cash flow and hinder your ability to meet the organization’s financial obligations. Before jumping into an agreement, consider the pros and cons of extending credit to customers.

Benefits of Extending Credit to Customers

While there are risks, there are several clear benefits to offering credit to your customers, including:

Establishing Trust with Customers

A company that offers credit is reliable, stable, trustworthy, and mature; all of which are comforts to a potential customer.

Increasing Customer Loyalty

Trusting your customers and offering them credit is a great way to tell them how important their business is to you and how much you appreciate it. They’re helping you bolster your business, so you are providing them with the option for credit so they can be flexible with their own cash flow without scrimping on what they need. By offering credit you have made them feel as though your relationship with them is less about supply and demand and more about trust, an essential part of the modern buyer’s vendor selection.

Enhance Your Company Reputation

Extending credit is not something every business can afford. By doing so, you’re telling customers and competitors that you’re financially healthy with cash and access to working capital. This will boost your organization’s reputation and your product among buyers and throughout your industry.

Gaining a Competitive Edge

Not all businesses extend credit, so just by making this a possibility for your customers you are giving yourself an edge. Customers like to buy on credit because it gives them more control over when they pay and gives them more flexibility and control over their cash flow. If they are between two vendors, they’re very likely to be more attracted to the vendor who gives them this flexibility.

Increasing Sales

For all of the reasons above, offering customers credit will help you attract more prospects and close more deals. Often times, customers are less concerned with the price when they know they can buy now and pay later. With longer payment terms and more buying power, your customers have everything they need to purchase more from you.

Additionally, the relationship you will establish with them in the process will further enhance their willingness to buy and even spread the word about your company to their peers.

Disadvantages of Extending Credit to Customers

All of these benefits of extending credit to customers seem attractive – and they are. But there are some risks to extending credit that all businesses should be aware of:

Late-paying Customers

Most of your customers who buy on credit will be great customers who pay you on time, but there could be a few rotten eggs that bring trouble in the form of late or delinquent payments.

Impact on Cash Flow

When you ask customers to pay upfront, you know exactly what your income is every month, but when you sell on credit, things get a little more complicated. As we mentioned above, most customers will pay you on time, some may be a little late, and some may become serious problems; all of this will affect cash flow, perhaps positively, but the chance for a negative impact is possible as well

Collection Fees

If you have to turn an invoice over to a collection agency or get a lawyer involved due to lack of payment, you won’t collect everything you’re owed. This combats the purpose of extending credit in the first place, but it’s only a real problem if numerous invoices require a collection agency or legal action. A well-written and regularly reviewed credit policy can help you avoid this issue entirely.

Focus on Accounts Receivable Management

If you start selling on credit, you will need to prioritize accounts receivable management. A/R management is much more than simply sending invoices and recording payments; it takes a lot of time and energy to do it right and avoid bad-debt write-offs, invoice disputes, and late fees.

You may even feel you need to hire another employee to keep up with it all. This is not always the case; you can implement plenty of tactics, tools, and simple process adjustments to help you quickly collect invoices without hiring additional hands or letting money slip through the cracks.

In Conclusion

Don’t run away scared from extending credit quite yet. While there are some significant disadvantages, there are simple ways to manage the risks of extending credit to your customers.

You can make smarter choices about credit sales by running credit checks, requiring new customers to fill out credit applications, developing a credit policy, and utilizing accounts receivable management best practices and tools to help make cash flow statements quick and effective.

Note: Content for this blog post was originally posted on Sage.com by Yassir Malik, June 3, 2025.

American Kennel Club Unleashes Efficiency

Since 1884, the American Kennel Club (AKC) has been a guiding force in canine advocacy. As the largest purebred dog registry in the world, the AKC is a trusted source of knowledge, inspiration, and support for dog lovers everywhere. The organization’s work touches countless lives, including hosting thousands of events annually and advancing groundbreaking research through the AKC Canine Health Foundation.

“Net at Work’s expertise has been a game-changer for us. They’ve helped us turn Sage X3 into the operational backbone we needed to manage our diverse business units effectively.”
Peter Rohslau, Controller, AKC

Behind the scenes, the AKC relies on a strong operational backbone to support its multifaceted organization, which includes six legal entities and a team of 500 employees. With business operations ranging from managing merchandise sales to sponsoring events and advocating for responsible dog ownership, the AKC needed a solution that could keep pace with its mission. For over a decade, Sage X3 and Net at Work have been vital partners in helping the AKC operate efficiently and fulfill its goals.

A challenge as big as the pack

The AKC’s operations are as diverse as the breeds it celebrates. Managing complex registrations, maintaining multiple eCommerce platforms, and ensuring smooth collaboration across departments and legal entities are no small tasks. The organization had relied on an older ERP application, but it simply couldn’t keep pace with the operation. The system wasn’t optimized for speed and performance, and data was siloed across various applications, making collaboration and decision-making more challenging.

Recognizing the need to align all aspects of the organization, the AKC partnered with Net at Work to conduct a full business process review and recommend a new, more robust ERP application. They selected Sage X3.

Fetching results with Sage X3 and Net at Work

With Net at Work’s help, the AKC unleashed Sage X3’s full potential, integrating diverse applications and workflows to create a single source of truth. AKC elected to host Sage X3 on the Cloud at Work Virtual Cloud, vastly simplifying maintenance and boosting accessibility. Today, eCommerce platforms, merchandise inventory, and data from their custom-built dog registration database flow seamlessly into the system. This streamlined approach replaced manual processes, saving time and improving accuracy across the organization.

Peter Rohslau, AKC’s controller, explains, “Net at Work’s expertise has been a game-changer for us. They’ve helped us turn Sage X3 into the operational backbone we needed to manage our diverse business units effectively.”

Staying out in front

With Sage X3 workflows, the AKC has automated key processes like purchase order approvals, transforming a once-paper-heavy system into an efficient digital operation. For an organization with over 50 departments, this centralization has been crucial for improving communication and reducing administrative bottlenecks.

The results speak for themselves. Department heads now receive timely, accurate reports every month—an improvement from the quarterly reports they relied on previously. This shift empowers the AKC to react faster to changing circumstances, whether reallocating resources or seizing new opportunities.

“Our ability to provide timely, actionable data has improved dramatically,” says Rohslau. “This allows us to stay ahead of challenges and support the strategic decisions that drive our mission forward.”

Growing the pack seamlessly

As the AKC has grown and added new legal entities, Sage X3 has made onboarding smooth and scalable. Even unique aspects of the AKC’s operations, such as their small-scale manufacturing process, are supported by Sage X3. With workflows configured by Net at Work, the AKC can manage production tasks efficiently, ensuring they stay on track without missing a beat.

Looking to the future, the AKC plans to implement additional tools, including workflow management and AP automation, further enhancing their ability to operate with agility and precision.

A top dog partnership

One of the AKC’s greatest strengths is its enduring partnership with Net at Work. For many years, the same consultant has supported the organization, ensuring continuity and a deep understanding of its needs. This consistency, backed by Net at Work’s deep bench of resources, has allowed the AKC to focus on its mission while confidently relying on its systems.

“Having the same partner, even the same consultant, makes all the difference,” Rohslau notes. “Net at Work understands how we’re built and ensures everything runs seamlessly. They’ve become an integral part of our success.”

Taking a walk into the future

The AKC’s mission impacts dogs, owners, and communities worldwide, from funding research that improves canine health to promoting responsible dog ownership. With Sage X3 as their operational backbone and Net at Work as a trusted partner, the AKC is poised to continue advancing its goals with efficiency and precision.

“Net at Work and Sage X3 give us the tools and support we need to keep moving forward,” Rohslau concludes. “With their help, we can focus on what matters to us—championing the bond between people and their dogs.”

Download the full Net at Work success story to read more about American Kennel Club’s journey to unleash Sage X3’s full potential.

Maximize Uptime and Efficiency with Sage X3’s Preventive Maintenance Module

In today’s fast-paced manufacturing environment, every minute of machine downtime can mean lost revenue, delayed orders, and increased operating costs. That’s why leading process and discrete manufacturers are turning to Sage X3’s Preventive Maintenance module to proactively manage equipment, reduce unplanned downtime, and extend asset lifespans, all within their existing ERP ecosystem.

What Is Preventive Maintenance and Why Does It Matter?

Preventive maintenance involves scheduled activities like cleaning, lubricating, calibrating, and replacing parts to ensure machines operate at peak performance. Whether maintenance is triggered by time, usage, or predictive analytics, the goal is the same: keep operations running smoothly and avoid costly disruptions.

According to industry statistics, poor maintenance practices can decrease a company’s production capacity by up to 20%. Conversely, implementing a preventive maintenance strategy not only boosts productivity but also slashes repair costs, reduces energy consumption, and enhances workplace safety.

How Sage X3 Elevates Preventive Maintenance

The Preventive Maintenance module is purpose-built for manufacturers looking to manage assets in real-time without the burden of integrating third-party systems. It leverages core Sage X3 functionality and enhances it with specialized tools to handle all aspects of maintenance planning, execution, and reporting.

Key capabilities include:

Automated job ticket release for recurring tasks or ad-hoc repairs
Real-time equipment tracking across multiple sites and currencies
Usage-based measurements to schedule maintenance when it’s truly needed
Full repair cost tracking, including labor, materials, and resources
Regulatory compliance tools supporting ISO, FDA, OSHA, and EHS standards
Detailed reporting and audit trails for improved decision-making and accountability

Tangible Benefits for Your Business

Tracking these physical assets can help your company to:

Boost productivity and profits by reducing inefficiencies and costly downtime
Optimize inventory levels and purchasing costs
Benefit from great operational flexibility

Ready to See It in Action?

Register now for Sage’s upcoming webinar and join host Zach Bellhy, Sage X3 specialist, to learn more and get expert insights on how the Preventive Maintenance Module can help you keep your operations running like a well-oiled machine.

Webinar Details:

Title – Maximize Uptime: Real-Time Asset Management for Manufacturers
Date – Monday, June 30^th, 2025

Time – 11am PT / 2pm ET

Length – Expected to last about 45 minutes

Click here to register

Real-Time Supply Chain Visibility with SSCI for Sage X3

Custom Tax Rule to Override AvaTax Calculations for Product Exemption

When you need to exempt specific products from sales tax for a non-exempt customer in a jurisdiction where you collect taxes, this guide will help you create a custom tax rule in AvaTax.

For example, in the invoice below, a service (New Basic Seminar) should be exempt from sales tax, while the other products remain taxable. Here’s how to configure this rule in AvaTax:

Steps to Create a Custom Tax Rule

Access Custom Rules Page

From the Avalara Portalpage, go to Settings > All settings.
Under the Custom Rules tile, click Manage to open the Custom Rules page.
Go to the Tax Rules tab and click Add a Tax Rule to open the New Custom Rule page.

Enter rule information on the new custom rule page

Name: Provide a clear and descriptive name for the rule.
Effective & Expiration Dates: Specify when the rule should start and end (if applicable).
Rule Type: In this field, you need to choose the custom rule that you want to apply. For this example, we’re going to select the “Product Taxability Rule”, which determines whether an item is taxed in a specific jurisdiction.
Location: Each custom tax rule applies to a single location. Create separate rules for each location if needed.

Define the Taxability Rule

Begin by choosing whether this rule makes the item taxable or nontaxable.

If it’s taxable, you then need to specify whether the rule includes special handling and designate either a cap or threshold value.

Cap Option: Set a tax cap and choose how to apply it:
- Cap the taxable amount at the document level.
- Limit the tax on the line to the cap amount.
- Exempt the entire amount after the cap is met.
Threshold Option: Set a threshold amount and define its application:
- Tax the entire amount once the threshold is met.

Specify the Jurisdiction & Tax Rate Basis

Choose the jurisdiction where the rule applies.
Select how the tax rate should be determined:
- Ship-from address (origin)
- Ship-to address (destination)
- Use system sourcing (AvaTax decides automatically)

Finalizing & Applying the Rule

Remember to create a rule for each jurisdiction that you want it applied.
Your new custom tax rule will now apply to transactions moving forward.
To apply it to past transactions, re-save sales data or recalculate tax.

How Smart ERP Implementation Transforms Chemical Manufacturing Sustainability

The chemical manufacturing sector accounted for 54% of all industrial waste managed in the United States in 2022, up from 44% in 2013, according to the EPA’s Toxics Release Inventory National Analysis. This dramatic increase of 10 percentage points in less than a decade reveals both the scale of environmental challenges and the growing concentration of waste generation in chemical manufacturing.

For small-to-medium-sized businesses (SMBs) in chemical manufacturing, this waste concentration represents both a significant competitive disadvantage and a strategic opportunity. While larger corporations are often more able to deploy dedicated teams to address sustainability metrics, SMBs must find ways to simultaneously reduce environmental impact and improve profitability with leaner operations and tighter budgets.

The strategic deployment of chemical manufacturing ERP systems designed for sustainability tracking offers one path forward, but success requires understanding both the genuine capabilities and realistic limitations of these technology solutions.

The Sustainability Imperative Reshaping Chemical Manufacturing

The global sustainable manufacturing market, valued at $203.65 billion in 2023, is projected to grow at 11.6% annually through 2030, driven by environmental regulations and carbon reduction policies. Chemical manufacturers are uniquely positioned within this transformation, serving both as significant environmental impact generators and as enablers of downstream sustainability solutions.

Chemical companies in 2025 face continued economic concerns, though many began to see a significant bounce back in 2024. Many leaders continue to invest in decarbonization and innovation while looking to cut costs and increase their margins. This dual pressure to reduce environmental impact while maintaining profitability makes technology solutions like scalable, industry-optimized ERPs essential.

For SMBs, the stakes are particularly high. Unlike larger corporations which may have dedicated sustainability teams and extensive resources, smaller chemical manufacturers must find ways to achieve compliance and competitive advantage with leaner operations and tighter budgets.

How ERP Systems Enable Sustainability in Chemical Manufacturing

Real-Time Environmental Monitoring and Reporting

Modern ERPs for chemical manufacturing provide the foundational infrastructure for comprehensive environmental tracking. To enforce the Clean Air Act (CAA), manufacturers using materials identified as hazardous are required to report the quantities of those materials that are used in and emitted as part of production. Therefore, generating accurate HAPS reports is essential (ECI Solutions, 2022).

Advanced ERP platforms integrate environmental monitoring directly into production workflows, automatically tracking resource consumption, waste generation, and emissions data. This real-time capability eliminates the manual processes that traditionally made environmental reporting both time-consuming and error prone.

Supply Chain Transparency and Sustainable Sourcing

Beyond internal operations, chemical manufacturing ERP systems can extend sustainability visibility throughout the supply chain. By sourcing materials sustainably from renewable sources, with minimal carbon footprint, and reduced environmental impact, companies can mitigate their ecological footprint. ERP systems enable this by providing complete visibility into supplier performance, material origins, and transportation logistics.

For chemical manufacturers, this transparency is crucial for three primary reasons.

Transparency enables better decision-making around material selection, allowing companies to choose suppliers and materials that align with sustainability goals.
Supply chain visibility supports compliance with increasingly complex supply chain reporting requirements.
Transparency creates opportunities for cost savings through optimized logistics and reduced waste.

Process Optimization and Resource Efficiency

While environmental monitoring captures what happens and supply chain management addresses where materials come from, process optimization focuses on maximizing efficiency throughout production. ERP systems can save manufacturers 22% in operational costs and can reduce the time to make business decisions by 36%. These efficiency gains translate directly into sustainability benefits through reduced resource consumption and waste generation.

The integration capabilities of modern ERP systems allow for sophisticated process optimization that wasn’t possible with disconnected systems. By analyzing production data, inventory levels, and demand forecasts simultaneously, chemical manufacturers can minimize overproduction, reduce energy consumption, and optimize equipment utilization.

Regulatory Compliance Management

The environmental monitoring, supply chain tracking, and process optimization capabilities of ERP systems culminate in streamlined regulatory compliance. Modern ERP systems designed for chemical manufacturing provide automated compliance reports for regulatory requirements throughout the product lifecycle, plus labelling and transportation management for hazardous materials. This automated approach to compliance management is particularly valuable for SMBs that may lack dedicated regulatory affairs staff.

ERP systems designed for chemical manufacturing can automatically generate required environmental reports, track regulatory changes, and ensure that production processes remain compliant with evolving standards. This reduces both the risk of non-compliance and the administrative burden associated with regulatory management.

The Strategic Considerations SMBs Must Address

Technology Investment vs. Operational Reality

While the global ERP software market size exceeded $81.5 billion in 2024 and is set to expand at a CAGR of over 14% in the next decade, SMBs must carefully evaluate whether the investment aligns with their operational reality and sustainability goals.

Integration Complexity and Implementation Challenges

Successful integration requires process redesign, staff training, and cultural change. SMBs must honestly assess their capacity for managing complex implementations while maintaining daily operations. The most sophisticated ERP system cannot deliver sustainability benefits if it is poorly implemented or inadequately adopted by users.

Measuring Return on Investment

The sustainability benefits of ERP implementation are often indirect and long-term, making ROI calculation difficult. While operational efficiency gains such as a 22% reduction in operational costs are measurable, environmental benefits may take longer to quantify and monetize.

SMBs need to establish clear metrics and measurement frameworks before implementation to ensure they can demonstrate value from their sustainability-focused ERP investment.

Industry-Specific ERP Capabilities for Chemical Manufacturing

Batch and Formula Management

Chemical manufacturing requires precise control over formulations and batch processes. Modern ERP systems for chemical manufacturing provide sophisticated batch management capabilities that not only ensure product quality but also minimize waste through precise ingredient tracking and automated adjustments based on real-time conditions.

Hazardous Materials Handling

ERP systems provide a comprehensive platform that integrates all aspects of a chemical manufacturer’s operations, from production to distribution. This integration ensures that compliance with hazardous materials regulations is built into every operational process (HSO, 2024).

Quality Control Integration

Quality control is inseparable from sustainability in chemical manufacturing. ERP systems that integrate quality management capabilities help prevent defects that lead to waste, rework, and environmental impact while ensuring products meet both customer specifications and regulatory requirements.

Implementation Strategy for Sustainability-Focused ERP

Assessment and Planning Phase

Before selecting an ERP system, SMBs should conduct a comprehensive assessment of their current sustainability issues and opportunities. This includes analyzing existing processes, identifying regulatory requirements, and establishing baseline measurements for key environmental metrics.

Vendor Selection Criteria

When evaluating ERP vendors, chemical manufacturers should prioritize systems with demonstrated experience in their industry, robust environmental tracking capabilities, and strong integration potential with existing systems and equipment.

Change Management and Training

Successful ERP implementation for sustainability requires comprehensive change management. Staff must understand not only how to use the new system but also how their roles contribute to the organization’s broader sustainability objectives.

The Future of ERP-Enabled Sustainability

Chemical and material companies are expected to continue digitalizing across business dimensions. This movement toward digitalization creates opportunities for even more sophisticated sustainability applications.

Emerging technologies like artificial intelligence and machine learning are being integrated into ERP systems to provide predictive analytics for resource optimization, automated sustainability reporting, and intelligent decision-making support. CIOs listed predictive analytics and deep learning as the most critical ERP technologies to gain a competitive advantage.

A Strategic Tool, Not a Silver Bullet

ERP systems represent a powerful tool for supporting sustainability initiatives in chemical manufacturing, but they are not a silver bullet. Success requires careful planning, thoughtful implementation, and ongoing commitment to process improvement and cultural change.

For SMBs in chemical manufacturing, the question isn’t whether to invest in ERP for sustainability, but how to do so strategically. The companies that thrive in the increasingly sustainability-focused marketplace are those that view ERP systems as enablers of operational transformation.

The path forward requires an honest assessment of organizational readiness, realistic expectations about implementation timelines and difficulties, and a commitment to measuring and improving sustainability performance over the long term.

Ready to explore how ERP can support your sustainability initiatives?

Contact Net at Work today for a complimentary Business Health Assessment. Our team can help you evaluate your current operations, identify sustainability opportunities, and develop a strategic technology roadmap aligned with your environmental and business objectives.

What is Supply Chain Management? Components, Technology & Best Practices for Distributors

Learn what supply chain management is, how the SCOR model works, and how Industry 4.0 technologies help distributors build connected, resilient supply chains.

Supply Chain Management (SCM) is the end-to-end coordination of sourcing, procurement, production, inventory, and delivery – from raw materials to the final customer. Supply chains today are complex, dynamic networks that require seamless connectivity, real-time data visibility, and the ability to adapt quickly to disruptions. Businesses must prioritize collaboration, proactive decision-making, and digital transformation to build a resilient supply chain.

Getting organized and understanding the basics of how a successful supply chain works are the first steps to scaling production.

In this article, we’ll define what supply chain management is, and walk through the tasks, objectives, and components you’ll need to do it well.

What is Supply Chain Management (SCM)?

Supply chain management (SCM) encompasses a wide range of activities, including demand forecasting, procurement, supplier relationships, production, inventory control, warehousing, and logistics.

It’s about using supply chain visibility tools to ensure real-time visibility into the movement of materials and products, from suppliers to end customers, while enabling organizations to anticipate disruptions, make data-driven decisions, and respond proactively to shifting demands. Additionally, it requires the monitoring of industry trends to anticipate future needs and challenges.

Supply chain management is a critical function within wholesale distribution because its efficiency impacts the success of other integral parts of the business:

Customer service: A connected supply chain enables real-time tracking and transparency, allowing customers to access updates at every stage of the process. This builds trust, reduces uncertainty, and improves overall customer experience.
Operating costs: The supply chain must be timed in a way that supports the demand level for the product to avoid overstocking and inventory costs. It’s also where you manage supply costs like raw materials and transportation.
Financial management: As you speed up the product flow to your customers, you speed up your cash flow into the business. If you can get your product to the customer in 10 days instead of 30, you can invoice them 20 days sooner. Visibility into your supply chain can highlight where costs and wait times can be reduced, and profit margins can be increased.

The SCOR model: Evolving for a digital supply chain

The Supply Chain Operations Reference (SCOR) model has long been a standard framework for optimizing supply chain performance. Traditionally used to structure and measure supply chain activities, it must now also embrace connectivity, transparency, and resiliency to address today’s evolving challenges.

The digital evolution of SCOR

Modern supply chains demand real-time visibility, predictive insights, and adaptive decision-making. The SCOR framework is evolving to integrate emerging technologies such as AI and machine learning, blockchain for supply chain integrity, and real-time monitoring through the internet of things (IoT).

These innovations transform SCOR from a static process framework into a dynamic, data-driven ecosystem that enhances resilience, risk management, and efficiency.

Collaborative planning and cloud-based platforms

SCOR is no longer just about internal processes. It’s also about how businesses collaborate across the entire value chain. Cloud-based platforms are enabling real-time data sharing across suppliers, manufacturers, and distributors, helping businesses:

Plan for and adjust to demand fluctuations instantly.
Gain visibility into supplier constraints and shipping delays.
Improve inventory management by leveraging real-time data.

Key benefits of a digital SCOR-based supply chain

By integrating these digital advancements, businesses using SCOR can:

Increase supply chain resilience: Predict and mitigate risks with AI-driven insights.
Enhance transparency: Leverage blockchain and real-time data for end-to-end visibility.
Improve agility: Rapidly adjust to market changes with scenario planning and cloud-enabled collaboration.

SCOR is broken into six components, each with specific processes that support efficient production and distribution:

Planning

Planning starts with nailing down the details of your operation strategy.

Determine your production and fulfillment locations – whether domestic, nearshore, or international—based on cost, logistics, and market proximity.
Decide whether you make the entire product yourself or purchase some components elsewhere. There are benefits and challenges with either, so this should be done strategically.
Decide how you’ll produce and store your product. Will you make them in advance and store them to await order? Or will you make them once the customer orders? You could also have a portion of the final product made in advance and either complete production upon order or offer order customization.

You can use any combination of these strategies, and the performance measurement method is established before planning begins.

Sourcing

The next phase is procuring your raw materials and any components you intend to outsource.

This needs to happen at the best possible price, at the right time, in the right quantity.

Use a supplier vetting checklist to ensure all suppliers are thoroughly vetted, and all contracts are negotiated to get the best value without sacrificing quality. Delivery scheduling is critical, too.

Assessing supplier performance is a continuous requirement for optimal supply chain management, as well as scheduling payments and ensuring import/export requirements are met.

Location

Location is critical for successful supply chain management. A suitable location that is convenient for your resources and materials is ideal.

For example, a carbonated drink company that’s set up in a location where water is scarce could hamper the vitality of the business.

Making

This is where assembling, testing, and packing activities happen.

This stage also includes establishing rules for performance measurement, how you’ll store data, your production facilities, and regulatory compliance.

Delivery/Logistics

This component encompasses all the steps for reducing supply chain lead time, including processing customer orders, distributing them, and transporting them.

Warehousing and inventory, or paying a service provider to manage both, are also included in this stage.

This is also where you factor in trial and warranty periods and invoicing once the final product is delivered.

Returns

You’ll need a smooth and easy process for customers to return defective products.

This will also include how to handle “end of life” products when the time comes for you to discontinue making, selling, and supporting certain products.

For defective products, this stage includes your company’s established rules for monitoring performance, costs, and inventory for the returned product.

This means:

Identifying the product condition
Authorizing returns
Scheduling replacement product shipments
Providing refunds

SCOR is not just about efficiency. It’s about creating an adaptable, intelligent, and interconnected supply chain that can withstand disruptions and thrive in a complex global economy.

The technology driving this evolution, collectively known as Industry 4.0, is what makes modern SCOR implementation possible.

Industry 4.0 technologies for supply chain management

New technology is changing the way businesses manage their supply chains.

Business management solutions allow managers to identify and act on time and cost-saving opportunities at every stage.

Additionally, for wholesale distributors, robust enterprise resource planning (ERP) solutions often include embedded SCM capabilities.

This technology makes it easier to plan, forecast, and manage inventory alongside supply chain-related financial information.

Industry 4.0 refers to major innovations in technology that are coming into maturity at the same time, embedded by companies around the world, integrating the virtual and physical worlds to bring forth powerful new ways of working.

Examples of this technology include:

AI-assisted innovation

AI enhances forecasting, identifies potential supply chain disruptions before they occur, and optimizes logistics for greater responsiveness. AI-assisted tools are at work right across the wholesale distribution supply chain, enhancing efficiency, accuracy, and decision-making through:

Demand forecasting

AI analyzes historical sales data and market trends to predict future demand, helping businesses optimize inventory and reduce overstock or stockouts.

Route optimization

Machine learning algorithms calculate the most efficient delivery routes, reducing fuel costs and improving delivery times.

Warehouse automation

AI-powered robots and automated systems speed up order picking, packing, and inventory management, increasing efficiency.

Supplier risk management

AI monitors global data sources to detect potential supply chain disruptions, allowing businesses to react quickly.

Dynamic pricing

AI adjusts pricing in real-time based on demand fluctuations, competitor pricing, and inventory levels.

This innovation boosts productivity, lowers costs, and increases customer satisfaction by ensuring faster, more reliable deliveries and better supply chain visibility.

The internet of things (IoT): Enabling real-time connectivity

IoT connects physical assets—machinery, vehicles, packaging, sensors—to the internet, enabling real-time data collection and automated responses without human intervention.

It enables real-time communication, making it possible to initiate physical systems without human intervention and giving rise to smart cities. Sensors track shipments, monitor environmental conditions, and enable immediate responses to delays or quality issues.

IoT lets you build digitized, connected supply chains—fully integrated ecosystems that are fully transparent to marketing, product development, manufacturing, and distribution.

Leveraging data and advanced analytics in supply chain management

With the Internet of Things comes a huge amount of data, and the way your business reads and analyzes that information is important.

In wholesale distribution, the availability of data on customer preferences and buying behavior can add new dimensions to the way you purchase and ship goods, offering better innovation, marketing, and decision-making.

Robotics and automation

Robots are already used extensively in the manufacturing world, deploying mechanical arms on assembly lines for example.

Industry 4.0 could see the contribution of robots massively increasing.

Smart technology in distribution, such as smart factories where automated systems manage manufacturing with minimal human input, is already operational across the industry, powered by integrated computing and communication systems.

Simulations, 3D printing, and augmented reality

Already commonplace today, goods can be virtually modeled and tested, saving time and reducing the materials, efforts, and money spent.

Through 3D printing, we can see the creation of customized, complex, and lightweight designs at remarkable speeds, while augmented reality offers a future where employees can be trained on the job far more effectively than with paper or monitors.

When combined with cloud-based services and mobile apps, augmented reality and wearable technology can give workers critical information while leaving their hands free to perform their jobs.

Netstock, AI-powered Supply Chain Management Tools and a Limited Time PROMO

Looking to strengthen supply and demand planning in Sage X3? Netstock’s intelligent planning tools integrate seamlessly with Sage X3 to help you forecast demand more accurately, reduce stock outs, lower excess inventory, and improve cash flow.

Key benefits include:

Greater visibility into critical KPIs
More time saved through automated planning and ordering
Faster response to change with AI-driven insights

For a limited time, Netstock is also offering 40% OFF onboarding fees to Net at Work clients who sign a contract by March 31.

If you have any questions about Sage X3’s planning capabilities or want to learn more about Netstock’s promotion and ability to take them to the next level, please don’t hesitate to reach out.

Blog was written by Ashley Thompson and originally published on Sage’s website on 3/31/26.

Improve Product Cost Accuracy and Margin Visibility in Sage X3

Expedite High-Volume Cash Applications with Net at Work’s ACH Lockbox Add-on for Sage X3

Managing high volumes of customer payments can be time-consuming, but it doesn’t have to be. Net at Work’s new ACH Lockbox add-on for Sage X3 provides greater flexibility and efficiency, helping businesses streamline cash application, improve reconciliation, and reduce manual effort.

While Sage X3’s native AR Lockbox provides essential lockbox functionality, our add-on offers additional features tailored for businesses handling high transaction volumes or complex payment scenarios.

What is an AR Lockbox?

An Accounts Receivable (AR) lockbox is a cash management service that automates and accelerates payment collection. Instead of sending payments directly to a business, customers mail checks or submit electronic payments to a designated lockbox. A bank of your choosing then processes these payments, deposits the funds, and provides an electronic file that you can import into Sage X3 to reconcile transactions.

How an AR Lockbox Works

Customer Sends Payment
1. Customers send payments to a dedicated lockbox address.
Bank Collects & Processes Payments
1. The bank retrieves and processes payments multiple times a day.
2. Checks and remittance documents are scanned for record-keeping.
Payment Processing:
1. The bank deposits the funds into the business’s account.
2. Remittance data (such as invoice numbers and customer details) is recorded and made available to the business via the banking portal.
Data Transmission:
1. The bank provides electronic data files to the business, updating accounts receivable records.
2. Businesses import these files into Sage X3 for reconciliation via the native lockbox functionality or Net at Work’s lockbox module.

Why Choose Net at Work’s Lockbox Add-On?

For businesses handling high transaction volumes or complex payment scenarios, Net at Work’s AR Lockbox enhancement provides additional capabilities that optimize cash application and reconciliation.

Feature	Net at Work’s AR Lockbox	Native AR Lockbox
Fully Pay Invoice (1:1)	✅ Yes	✅ Yes
Pay Many Invoices with One Payment (1: Many)	✅ Yes	❌ No
Allows On-Account Payments	✅ Yes	❌ No
Allows Underpayments	✅ Yes	❌ No
FTP Setup Possible	✅ Yes	✅ Yes
Inbound and Archive Directories	✅ Yes	✅ Yes
Implementation Services	~60 hours (includes planning and PM time)	~60 hours (includes planning and PM time)
Annual License Subscription	$4,475 per year	❌ No additional cost

Maximizing Efficiency with Enhanced Functionality

Our AR Lockbox add-on integrates seamlessly with Sage X3 and enables businesses to handle more complex payment scenarios, such as:

Apply a single payment across multiple invoices – reducing manual reconciliation.
Process on-account payments – ensuring unmatched payments are properly recorded.
Handle underpayments or overpayments – improving cash flow accuracy.

Get Started Today

If your business processes a high volume of payments or needs a more flexible and automated lockbox solution, Net at Work’s enhanced module for Sage X3 can help.

Complete Guide to Forecasting Sales: Predict Revenue and Plan for Growth

Whether you’re launching a new product, expanding your presence, or preparing for seasonal changes, sales forecasting helps you confidently settle on a plan. But how can you be sure of your model?

To make the right decisions in your business, you need a good idea of what performance to expect. You probably have a rough inkling of how your sales are doing, but how can you get closer to an educated guess?

That’s where the art of sales forecasting comes in. It’s a roadmap of how the market is likely to develop, and what your operation will look like if you hit all your goals.

In this guide you’ll learn the meaning of sales forecasting, how to do it well, and which methods work best depending on the scenario you envisage.

What is sales forecasting and why does it matter?

Sales forecasting is the process of estimating future revenue based on data from your business and the market. You analyze current data like recent sales performance, customer demand, seasonal trends, and active marketing campaigns.

You also look at past sales—typically going back 12 to 24 months, though shorter timeframes can work for newer businesses. The right window depends on how stable or seasonal your sales are.

You can forecast for any period, such as month, quarter, or year. For example, a quarterly forecast is often more useful than a monthly one when you have long sales cycles or seasonal fluctuations.

The importance of sales forecasting is that it gives you a broader view of performance and allows more time for strategy adjustments.

Accurate sales forecasts help you manage your inventory, budget, and financial planning more effectively. You avoid mishaps such as overstocking your warehouse or lacking staff when sales take off. This means you can prepare for and act on growth opportunities.

A solid forecast builds confidence in your business decisions and helps you grow with fewer surprises.

Sales Forecasting: Key Concepts and Definitions

Sales forecasting is something of a specialization, with a number of terms you should know if you want to make the most of nuances in the process. Understanding these will help you choose the right forecasting tools and techniques for your business or campaign.

Sales forecast: an estimate of future revenue over a set period of time based on data and assumptions.
Forecasting methods: the techniques used to create your forecast. Choose the method based on whichever information you think is the most relevant to achieving your goal. It could be numbers (historical datasets or customer buying patterns), expert input (e.g. your sales team), or market trends.
Forecasting sales with predictive analytics: AI-based tools and models that analyze patterns in your data to make smarter, more accurate predictions.
Qualitative forecasting: relying on human insight—such as expert opinions or customer surveys. Useful when data is limited.
Quantitative forecasting: based on real figures, such as past sales numbers and performance metrics. Best when you have reliable historical data.

Most businesses benefit from using both qualitative and quantitative methods to build a clearer, more complete forecast.

Why Sales Forecasting is Crucial for Your Business

When done well, sales forecasting helps you make smarter decisions well beyond production and inventory. It supports cash flow management, hiring plans, and investment strategies for growth. Without a forecast, you’re making decisions in the dark.

According to McKinsey, a chemical distributor increased its sales by 6% by implementing more accurate and frequent sales forecasts.

These forecasts helped the company better allocate resources and respond to market demand. Gartner predicts that by 2027, 50% of business decisions will be augmented or automated by AI agents.

These agents rely heavily on accurate data and forecasting to support complex judgments, making sales forecasting a foundational element of future business intelligence.

Forecasting helps you act rather than react, which is the difference between market movers and those who merely stay afloat.

Which Departments Prepare Sales Forecasts?

Sales forecasting is a cross-functional effort involving several departments across your business. Different departments create their own forecasts based on their unique responsibilities and data needs.

These individual forecasts may differ in scope and method, but they can be combined to shape a clearer, more comprehensive view of expected performance across the business.

Sales

Unsurprisingly, the sales department leads the charge in creating forecasts. They offer first-hand knowledge of the sales pipeline, customer interactions, and expected deal closures. Sales reps and managers can provide bottom-up projections based on current opportunities and past performance.

Marketing

A marketing team might forecast the impact of an upcoming campaign, product launch, or seasonal promotions. They can share insights into demand for planned initiatives, lead generation trends, and customer engagement metrics that may impact future sales.

Finance

The finance team ensures the forecasts align with the broader financial plan. They analyze historical revenue data, pricing models, and market conditions to validate projections. This helps them assess how forecasted sales affect cash flow, budgeting, and profitability targets.

Operations and supply chain

Operational teams contribute by helping align forecasts with inventory levels, production capacity, and logistics planning. Their involvement prevents supply issues—like overstocking or underproduction—that can arise from inaccurate forecasting.

Product management

Product managers may get involved when forecasts are tied to new product releases or updates. Their knowledge of product timelines and customer needs helps refine projections, particularly when entering new markets or launching major features.

Leadership and strategy teams

Executives and strategic planners use forecasts to guide high-level decisions—such as expanding into new regions, investing in infrastructure, or adjusting workforce needs. Their macro view helps align forecasts with long-term business goals.

Different Forecasting Methods and When to Use Them

The optimal approach to forecasting sales depends not only on the data and resources you have, but also on your goal at any given time. Are you planning a new product launch? Testing a marketing campaign? Expanding to a new location? The right forecasting approach will help you prepare more accurately.

Historical data analysis looks at past sales as an indicator of future trends. It’s simple and reliable if your business has consistent patterns, but it doesn’t always account for sudden market changes.

Example: a boutique fitness studio uses two years of class attendance data to predict demand for its new timetable. Intended result: a 20% increase in class bookings with better staff scheduling.

Market research uses surveys, customer feedback, and industry data to estimate demand. This method is helpful for new products or when you’re entering unfamiliar markets but it can take time and resources to gather quality insights.

Example: before launching a new skincare product, a cosmetics brand surveys 500 customers. They forecast first-quarter sales with the goal of landing within 5% of the estimate.

Expert opinion from your sales team, managers, or industry specialists. This works well when data is limited or when your team has direct customer insights, but it can be subjective or overly optimistic.

Example: a SaaS company launching in a new region leans on its sales team’s insight to forecast demand. The forecast justifies hiring two local reps—crucial for long-term growth.

AI-driven forecasting leverages the increasing adoption of tech platforms across business operations, which positions you to automate research and analysis. The next section covers this in more detail.

Sales Forecasting Process and Best Practices

A strong sales forecast reflects the preparation that went into it. Here are the basic steps for an actionable forecast that is more likely to get results:

Define your goal: know what you’re forecasting and why. Are you planning inventory? Hiring? Seeking funding? Your purpose shapes your approach.
Choose your timeframe: decide whether you’re forecasting weekly, monthly, quarterly, or annually based on your business model and decision needs.
Gather your data: pull in relevant sales history, CRM activity, market research, and marketing plans. Make sure the data is accurate and current.
Anticipate modifications to the plan: consider factors that may affect the forecast, such as changing customer behavior, upcoming promotions, new product launches, or macroeconomic shifts. These can all influence demand.
Study competitors: analyzing your competitors’ moves—such as pricing changes, new product offerings, or market entry—can help you anticipate shifts in customer preferences and market dynamics.
Select your method: use historical data, expert input, market trends, or AI tools depending on your business stage and the quality of your data.
Build the forecast: apply your method to the data and create a revenue estimate for the period you aim to model.
Analyze and share the forecast: review the results to spot trends, risks, or outliers. Are sales trending up? Do you need to adjust staffing or warehouse space? Circulate the forecast across the appropriate teams so they can brainstorm ideas on how to proceed.

Best Practices

Beyond following the right steps in creating the forecast, we have some recommendations on making the best use of your forecasts.

Update regularly: revisit forecasts monthly to keep pace with changes in demand or operations.
Stay flexible: adjust your approach when market conditions or internal goals shift.
Use the right tools: choose platforms that support versioning, scenario planning, and seamless collaboration.
Involve key teams: shared insight leads to stronger accuracy, so bring in sales, marketing, and operations staff in the early stages of your process.
Track accuracy: monitor how forecasts match up to actual results over time and refine your assumptions with each cycle.

Common Mistakes in Sales Forecasting

Even seasoned sales leaders and business owners risk falling into some common forecasting traps. Here are the main pitfalls to look out for, plus ideas for avoiding them.

Over-reliance on past sales without current market context

Historical data is useful—but not foolproof. If you simply project past sales growth forward without accounting for changing market conditions, you risk missing the mark.

Solution: combine historical trends with real-time market intelligence. Factor in shifts in customer behavior, competitor activity, economic conditions, and your own marketing plans.

Letting subjectivity override the data

Sales forecasts based on gut instinct, anecdotal wins, or overconfidence can skew results and lead to poor planning. Optimism bias is common—especially when individual reps or managers overestimate deal closings.

Solution: ground your forecasts in verified data and repeatable processes. Use structured inputs like CRM metrics, conversion rates, and lead scores.

Overcomplicating the forecasting process

Complex models with too many assumptions or technical features can confuse stakeholders and reduce confidence in the results.

Solution: keep your forecasting models simple and transparent. Make assumptions clear, limit unnecessary variables, and ensure everyone involved understands the logic behind the forecast.

Failing to update forecasts regularly

Customer preferences, sales cycles, and external conditions can change quickly. A forecast made six months ago may no longer reflect the current reality.

Solution: revisit and refresh your forecasts on a consistent schedule—ideally monthly or quarterly. Update your inputs with recent sales data, marketing performance, and market trends.

Ignoring external influences like economic shifts or supply chain issues

Sales forecasts that ignore macroeconomic trends, pricing pressures, or supply chain disruptions can lead to unrealistic expectations and costly decisions.

Solution: include external risk factors in your forecast. Build contingency plans for inflation, logistics delays, seasonality, or regulatory changes that could impact demand or delivery.

Sales Forecasts Amidst Uncertainties

It can feel like a chaotic world and even the most well-prepared sales forecasts can be disrupted by serious, unexpected events. Market volatility, global crises, competitor moves, or internal changes—such as leadership turnover or product delays—can all render your original projections obsolete.

Disruptive events can directly affect demand or delay a product’s release by interrupting your supply chain. When these changes occur, the assumptions your forecast was built on—conversion rates, lead times, campaign effectiveness—can suddenly lose relevance.

In these circumstances, if you continue relying on outdated forecasts, you risk overproducing inventory, underestimating staffing needs, missing revenue targets, or delaying strategic decisions. You may be trapped, waiting for clarity that never fully returns.

The answer is to treat your forecast as a flexible tool, not a fixed plan. To pivot rapidly and effectively, you can:

Reassess assumptions: go back to your forecast model and revalidate your core assumptions. Which inputs have changed significantly?
Shorten your forecasting window: shift from quarterly or annual to monthly (or even weekly) forecasts to stay responsive.
Use scenario planning: build multiple versions of your forecast based on best case, worst case, and most likely outcomes.
Leverage real-time data: use tools that pull fresh data from your CRM, website, and external sources so you can adjust dynamically.
Communicate often: keep key stakeholders in the loop—sales teams, finance, and ops—so that responses are coordinated and timely.

Responsibility for updating the forecast depends on the scale of the change. Small adjustments may fall to the sales or revenue ops team, but major shifts usually involve leadership—typically the CFO, CRO, and other senior stakeholders. Cross-functional input ensures decisions reflect both strategy and ground-level insight.

Advanced Forecasting with AI and Machine Learning

Modern accounting tools pull data from multiple sources—such as CRM activity, web traffic, and seasonal trends—and use machine learning to identify patterns and shifts. AI takes that data and turns it into real-time insights, helping you respond faster and forecast with more precision.

This development is transforming sales forecasting. With predictive analytics, your forecasts adjust automatically as new performance data comes in. These tools can connect with your inventory systems, financial planning software, and CRM to give you a more complete financial picture.

Sage AI-powered solutions are a perfect example of this. They reduce manual entry, flag risks early, and let you test multiple scenarios. That’s especially helpful if you’re growing or operating across different regions or product lines.

Your Path to Accurate Sales Forecasting

Sales forecasting doesn’t have to be complicated, but it does need careful attention. The right methods and tools can take you from guessing to knowing. You’ll make better informed decisions, spot risks sooner, and plan your financial path with more clarity.

As your business becomes more complex, AI tools and software integrations will make a big difference.

If you need to improve your forecasts, Sage financial planning solutions could be what you’re looking for. Explore our range of tools designed to support growing businesses like yours.

Note: Content for this blog post was originally posted on Sage.com by Joe Church Woods, June 27, 2025.