What is demand forecasting software?
Demand forecasting software helps organizations predict future customer demand by analyzing historical sales data, seasonality, trends, product lifecycles, promotions, and changing market conditions. Unlike spreadsheets, it automatically applies advanced statistical forecasting methods and machine learning to generate more accurate forecasts while reducing manual effort. This process is closely tied to demand planning, the broader practice of turning a demand forecast into inventory, production, and replenishment decisions. This is why demand forecasting software is often called demand planning software.
Organizations use demand forecasting software to improve inventory planning, purchasing, production scheduling, replenishment planning, Sales & Operations Planning (S&OP), and overall supply chain performance. Forecast Pro combines automatic statistical forecasting, machine learning, and human expertise to help organizations improve forecast accuracy without the long, services-heavy implementations typical of larger enterprise planning platforms.
What is statistical forecasting software?
Statistical forecasting software uses mathematical models to identify demand patterns and predict future sales. Rather than relying on manual estimates or spreadsheet formulas, it automatically evaluates multiple forecasting methodologies—including Holt-Winters Exponential Smoothing, Box-Jenkins (ARIMA), and Croston’s method—to determine which model delivers the highest accuracy for each product.
Forecast Pro performs this analysis automatically for every SKU, helping organizations improve forecast accuracy, reduce spreadsheet errors, and build demand planning processes that scale across the business.
What makes Forecast Pro different from a supply chain planning application?
Demand forecasting software focuses on predicting future customer demand using statistical forecasting, machine learning, and historical sales analysis. Supply chain planning software uses those forecasts to optimize inventory, purchasing, production, transportation, and distribution decisions.
Forecast Pro specializes in producing highly accurate demand forecasts that become the foundation for better inventory planning, production planning, replenishment planning, and S&OP. Plus, it integrates into the broader planning systems organizations already use, rather than replacing them.
What is the best demand forecasting software for manufacturers?
The best demand forecasting software for manufacturers combines statistical accuracy, rapid implementation, ERP integration, scalability, and measurable business value.
Manufacturers often need software capable of managing:
- Seasonal demand
- Intermittent demand
- New product introductions
- Promotions
- Thousands of SKUs
- Multiple production locations
Forecast Pro is built for manufacturers who want powerful statistical forecasting, automatic model selection, machine learning, and collaborative demand planning without needing a large IT organization to get there. Pharmaceutical manufacturer Aspire Pharma, for example, uses Forecast Pro to improve forecast accuracy by 40% and better protect supply continuity. See more in customer success stories.
What is the best demand forecasting software for distributors and wholesalers?
Distributors and wholesalers need demand forecasting software that improves inventory planning, purchasing decisions, replenishment planning, and customer service while reducing excess inventory and stockouts.
Forecast Pro combines:
- Statistical forecasting
- Automatic model selection
- Machine learning
- ERP integration
to help distributors forecast more accurately and support collaborative planning across purchasing, operations, sales, and supply chain teams. Natural food and beverage distributor Frontier Co-op uses Forecast Pro to reduce forecast error (MAPE) from 58% to 11% over a 12-month period. Read more in customer success stories.
How do I choose the best demand forecasting software?
The best demand forecasting software should improve forecast accuracy, automate statistical model selection, integrate with existing ERP systems, require minimal IT resources, support collaborative planning, and deliver measurable value quickly.
Organizations should evaluate demand planning software on:
- Methodology
- Implementation speed
- Scalability
- Accuracy reporting
- Inventory planning capabilities
- Machine learning support
- Ease of use
- Total cost of ownership
Learn more on how Forecast Pro compares to typical enterprise platforms on implementation time, transparency, cost structure, and scalability, or download a free trial to evaluate it against your own data.
Which industries benefit from demand forecasting software?
Demand forecasting software is used across:
- Manufacturing
- Industrial products
- Consumer packaged goods (CPG)
- Wholesale distribution
- Food and beverage
- Retail
- Apparel
- Automotive
- Healthcare
- Pharmaceuticals
- Chemicals
- Electronics, and other supply chain-intensive industries
Forecast Pro is used by more than 40,000 people across 12,000+ organizations in 88+ countries, spanning virtually every industry that forecasts demand from pharmaceutical manufacturers improving supply continuity to apparel brands managing seasonal swings.
Is Forecast Pro worth the investment?
Yes. Forecast Pro combines powerful statistical forecasting and machine learning with competitive, predictable pricing and rapid implementation, helping organizations achieve faster ROI without the lengthy rollout and overhead of larger enterprise planning platforms.
We are committed to keeping Forecast Pro competitively priced while delivering exceptional value to our customers. We continually invest in new features and functionality, reinvesting revenue into ongoing product development and prioritizing enhancements based on customer feedback and evolving business needs. Our goal is to provide powerful, reliable forecasting capabilities at an accessible price while continually improving the software to meet our customers’ needs.
With 40+ years of forecasting expertise, 40,000+ users, and 12,000+ organizations relying on the software across 88+ countries, Forecast Pro has a long track record of paying for itself through improved accuracy and reduced inventory costs. See how Forecast Pro compares to typical enterprise platforms or download a free trial to evaluate it on your own data.
Why do companies continue using Forecast Pro long term?
Organizations continue choosing Forecast Pro because it delivers long-term value through high forecast accuracy, ease of use, continuous product innovation, and ongoing access to experienced forecasting expertise.
Forecast Pro has been refined over 40+ years, is led by published forecasting authors, and has ranked among top performers in the Makridakis forecasting competitions, the field’s leading independent accuracy benchmark. That combination of proven methodology and ongoing guidance and training is why many organizations rely on Forecast Pro for mission-critical forecasting decisions year after year. Scan our customer success stories.
When should I replace Excel with demand forecasting software?
You’ll typically outgrow Excel when forecasting becomes difficult to maintain, too time-consuming, or unable to support your business growth. Common warning signs include:
- SKU/location count has exploded. What worked for a few hundred items now needs to cover thousands of SKU-location combinations, and the spreadsheet buckles under the volume.
- Forecasting takes days instead of hours. Most of the team’s time goes into gathering, cleaning, and reformatting data rather than actually analyzing demand.
- No single source of truth. Multiple versions circulate by email (“Forecast_FINAL_v3.xlsx”), and nobody’s fully sure which copy is current.
- Formula and reference errors creep in. Broken links, fat-fingered cells, and copy-paste mistakes quietly corrupt the numbers, and they’re hard to catch.
- Forecast accuracy has plateaued or is getting worse. Excel typically limits you to simple methods (moving averages, naive extrapolation, basic trend lines) rather than statistically rigorous, best-fit models per item.
- One person is the bottleneck. The whole process depends on a single “spreadsheet expert,” which creates key-person risk if they’re out or leave.
- No audit trail or collaboration. It’s hard to track who changed what, and multiple people can’t work in the model at once without overwriting each other.
- Little to no exception handling. There’s no automated way to flag which items are trending off-plan and need attention — everything has to be eyeballed manually.
- Scenario/what-if planning is painful. Running alternate forecasts (new product launch, promotion, supply disruption) means rebuilding or duplicating large chunks of the workbook.
- No integration with other systems. Data has to be manually exported from and re-imported into ERP, planning, or BI tools instead of flowing automatically.
Demand forecasting software automates statistical forecasting, improves accuracy, eliminates spreadsheet errors, measures forecasting performance, and supports cross-department collaboration. Forecast Pro’s “Connect and Go” approach lets you move beyond spreadsheets without replacing your existing ERP or business systems. Learn more about our capabilities.
Why isn’t Excel enough for demand forecasting?
Excel is an excellent analytical tool, but it wasn’t designed to support enterprise-scale demand forecasting across thousands of products, multiple locations, changing demand patterns, and collaborative planning. Even the Excel add-ins built for forecasting are typically limited to basic versions of these models and require planners to manually choose starting parameters rather than automatically optimizing them for accuracy.
Modern demand planning software automatically selects forecasting models, manages seasonality, identifies intermittent demand, measures accuracy using MAD, MAPE, WMAPE, and Forecast Value Add (FVA), supports collaborative forecasting, and integrates directly with ERP systems. Forecast Pro provides these capabilities while preserving the flexibility many planners appreciate from spreadsheet-based workflows.
Can Forecast Pro replace Excel forecasting?
Forecast Pro helps organizations move beyond spreadsheet-based forecasting while retaining Excel integration for planners who need it.
What forecasting methodology should I use?
The right forecasting methodology depends on the demand characteristics of each product. Stable demand often performs well with simple Exponential Smoothing, while seasonal demand frequently benefits from Holt-Winters, a variant of Exponential Smoothing that models level, trend, and seasonal pattern together. Intermittent demand is commonly forecast using Croston’s method. More complex demand patterns may call for the Box-Jenkins methodology, a systematic procedure for selecting an ARIMA (Autoregressive Integrated Moving Average) model.
Rather than asking planners to manually pick the right model, Forecast Pro’s automatic model selection evaluates these methodologies and selects the best-performing one for every SKU.
How does automatic statistical forecasting work?
Automatic statistical forecasting evaluates historical demand data using multiple methodologies simultaneously, rather than applying one model across every product, to determine which approach produces the highest accuracy for each SKU.
Forecast Pro’s Expert Selection technology continuously analyzes demand history, automatically selects the optimal statistical model, and generates forecasts while eliminating manual model selection explaining its reasoning in plain English along the way.
How can I improve my forecast accuracy?
You can improve forecast accuracy by combining high-quality historical data, the right statistical methods, continuous forecast measurement, and expert business judgment.
Forecast Pro’s Expert Selection technology automatically evaluates multiple statistical models for every SKU and selects the methodology expected to produce the highest accuracy. Accuracy can then be tracked using MAD, MAPE, WMAPE, forecast bias, and FVA, the same approach that helped apparel brand Brooks Running improve forecast accuracy by an average of 40 percent.
How does Forecast Pro improve forecast accuracy?
Forecast Pro applies AI, machine learning, and statistical forecasting together with expert model selection to help planners identify the right forecasting method and improve forecast accuracy for every SKU.
How do I measure my forecast accuracy?
You can measure forecast accuracy using:
- Mean Absolute Deviation (MAD)
- Mean Absolute Percentage Error (MAPE)
- Weighted Mean Absolute Percentage Error (WMAPE)
- Forecast Value Add (FVA)
- Forecast bias
- Tracking signals and other statistical performance metrics
Measuring accuracy helps you continuously improve performance, identify opportunities, reduce bias, and quantify operational gains. Forecast Pro’s accuracy tracking and “waterfall” reporting tools make this visible at every step of the process with full data visibility rather than a black box.
What is Forecast Value Add (FVA)?
Forecast Value Add (FVA) measures whether manual forecast adjustments improve or reduce accuracy compared to an automated statistical forecast.
Organizations use FVA to determine when human intervention adds real value and when the statistical forecast performs better on its own. Forecast Pro’s FVA reporting supports this best practice by pairing automated forecasting with collaborative review and performance measurement.
Can demand forecasting software forecast seasonal demand?
Yes, seasonal demand forecasting is one of the core strengths of statistical forecasting software.
Forecast Pro automatically detects recurring seasonal patterns and applies methodologies such as Holt-Winters Exponential Smoothing, modeling level, trend, and seasonal pattern together to improve accuracy. Apparel brand Brooks Running, which manages highly seasonal footwear demand, used Forecast Pro to improve forecast accuracy by an average of 40 percent.
Can demand forecasting software forecast intermittent demand?
Yes, intermittent demand forecasting requires specialized statistical methods because demand occurs irregularly over time.
Forecast Pro automatically identifies intermittent demand patterns and applies methods such as Croston’s method to improve forecast accuracy for spare parts, maintenance inventory, replacement components, and low-volume products, the same logic pharmaceutical manufacturer Aspire Pharma relied on to improve forecast accuracy by 40% and better protect supply continuity.
Why is forecast accuracy important for my business?
Forecast accuracy directly influences:
- Inventory investment
- Customer service
- Production efficiency
- Purchasing decisions
- Cash flow
- Overall profitability
More accurate forecasts help you reduce excess inventory, minimize stockouts, improve service levels, and make better strategic decisions. Customers such as Frontier Co-op (which reduced forecast error from 58% MAPE to 11%) and Brooks Running (a 40% improvement in forecast accuracy) illustrate the scale of impact possible. Read more in customer success stories.
Does Forecast Pro use AI for demand forecasting?
Yes. Forecast Pro combines AI and machine learning with proven statistical forecasting so organizations get the accuracy benefits of AI without losing transparency. Its Expert Selection technology continuously analyzes demand history using AI-assisted pattern detection alongside statistical models like Holt-Winters, Box-Jenkins, and Croston’s method. It then explains its reasoning in plain English so planners can see exactly why a forecast looks the way it does, rather than working from a black-box output. Forecast Pro’s forecasting capabilities are built into the software, allowing organizations to analyze their own demand data while maintaining control over their forecasting processes.
Can AI accurately predict demand for my business?
AI can meaningfully improve demand prediction, especially for spotting complex patterns, seasonality shifts, and anomalies across large datasets. Accuracy still depends on clean historical data, the right statistical foundation, and human judgment for events AI can’t anticipate on its own, like new product launches, promotions, or supply disruptions.
Forecast Pro pairs AI-driven pattern detection with proven statistical forecasting and human-in-the-loop review, so planners get AI’s strengths without losing accuracy, transparency, or control over the final forecast.
Does machine learning improve demand forecasting?
Forecast Pro combines proven statistical forecasting with machine learning to improve performance while maintaining transparency and forecast accuracy. This helps organizations:
- Identify complex demand patterns
- Detect anomalies
- Analyze historical demand patterns to improve forecast accuracy.
The most effective forecasting approaches combine machine learning with proven statistical methods rather than relying on AI alone. Forecast Pro integrates machine learning alongside its statistical engine so organizations gain accuracy without losing planner confidence or visibility into how a forecast was generated. Get an overview of our capabilities.
Should AI replace human forecasting?
AI can improve forecasting efficiency, but the most reliable forecasting processes combine automated forecasting with experienced human judgment. Business conditions such as:
- Promotions
- Customer commitments
- New product launches
- Supply disruptions
- Market shifts
frequently require planner expertise that statistics alone can’t capture. Forecast Pro supports this human-in-the-loop approach by letting planners, sales teams, operations leaders, and supply chain professionals collaborate on top of statistically generated forecasts and machine learning recommendations. Fidelity Investments’ Wendell Hull noted his team was producing forecasts on day one of using Forecast Pro, and cut forecast error to single digits within the first year. Read more in these customer success stories.
What is human-in-the-loop forecasting?
Human-in-the-loop forecasting combines automated statistical forecasting, machine learning, and expert business judgment. Rather than relying solely on automated predictions, organizations review, adjust, document, and approve forecasts before operational decisions are made.
Forecast Pro enables this collaborative process across:
- Sales
- Operations
- Finance
- Purchasing
- Supply chain teams
while preserving transparency, accountability, and accuracy and full visibility into every adjustment, not a black-box output.
Will demand forecasting software integrate with my ERP system?
Yes. Modern demand forecasting software should integrate with your ERP, MRP, and business planning systems without triggering a major technology project.
Forecast Pro is built for rapid deployment, low IT overhead, and straightforward ERP integration, so you can improve forecasting while continuing to use your existing business systems and processes.
What kinds of data and systems can Forecast Pro connect to?
Forecast Pro works with your existing ERP system and standard data files, and it can also connect straight to a database using ODBC (Open Database Connectivity), a common way for software to pull data directly from a database instead of relying on manual exports.
Forecast Pro can also use more than just your sales history. It can bring in:
- Prices and currency conversions
- Unit conversions like weight or shipping volume
- Forecasts provided by customers or other outside sources
- Open order information
- “A,” “B,” and “C” product categories, grouped either automatically or using your own rules, based on how important they are to your business
- Bulk overrides and adjustments across many products at once
so you can focus attention where it matters most, without making changes one product at a time.
Can Forecast Pro account for promotions, stockouts, or other one-time events?
Yes. Forecast Pro supports event identification, letting planners augment statistical models by flagging specific periods affected by promotions, stockouts, disasters, special orders, or other unusual demand drivers, so these events don’t distort the underlying forecast.
Can Forecast Pro incorporate external data like economic or demographic indicators?
Yes. Forecast Pro can ingest regressors, such as economic data, demographic data, or other explanatory variables, and use them to build time series models on top of external data sources rather than relying on historical demand data alone.
How can demand forecasting software improve my inventory planning?
Accurate demand forecasting improves your inventory planning by helping you purchase the right products at the right time while reducing:
- Excess inventory
- Stockouts
- Expedited shipments
- Obsolete inventory
- Working capital requirements
Forecast Pro generates statistically accurate forecasts that support inventory optimization, replenishment planning, purchasing, production scheduling, customer service, and supply chain planning. Learn more about our capabilities for the full reporting toolkit.
How can demand forecasting software improve my S&OP process?
Your Sales & Operations Planning process depends on reliable demand forecasts that align:
- Sales
- Operations
- Finance
- Procurement
- Inventory
- Executive planning
Forecast Pro supports effective S&OP with statistically accurate forecasts, collaborative forecasting workflows, accuracy reporting, scenario planning, machine learning, and seamless ERP integration, helping you align cross-functionally and make faster, better-informed decisions.
How does Forecast Pro support S&OP?
Forecast Pro supports S&OP with collaborative forecasting, forecast accuracy tracking, FVA reporting, exception reporting, and shared forecast workflows.
What business outcomes can I improve with demand forecasting software?
Accurate demand forecasting produces measurable operational and financial benefits across your organization. You can commonly:
- Improve forecast accuracy
- Reduce excess inventory
- Minimize stockouts
- Increase customer service levels
- Improve planner productivity
- Optimize purchasing
- Strengthen production planning
- Reduce working capital
- Support better executive decision-making
Forecast Pro pairs statistically accurate forecasting with rapid implementation to help you realize these outcomes quickly. Our customer success stories share real results across industries.
How long will it take me to implement Forecast Pro?
Implementation timelines vary by your organization’s size, data quality, and integration requirements, but they shouldn’t take a year.
Forecast Pro is an off-the-shelf solution designed for rapid implementation, typically measured in days or weeks rather than the six-to-twelve-month timelines common with larger enterprise platforms. Fidelity Investments’ Wendell Hull reported his team was producing forecasts on the very first day Forecast Pro was installed, and reduced forecast error to single digits within the first year. Compare implementation timelines.
How quickly can I achieve ROI with Forecast Pro?
You’ll typically realize ROI by:
- Improving forecast accuracy
- Reducing inventory carrying costs
- Minimizing stockouts
- Increasing planner productivity
- Reducing manual forecasting effort
Because Forecast Pro is designed for rapid, “Connect and Go” implementation and straightforward ERP integration, you’ll often see measurable improvements in weeks rather than the months typical of large enterprise rollouts. Download a free trial to start evaluating ROI on your own data.
Is Forecast Pro scalable?
Yes. Forecast Pro is designed to scale across thousands of items, products, and locations as forecasting needs grow.
Forecast Pro vs. SAP IBP: What’s the Difference?
SAP Integrated Business Planning (IBP) is a broad, enterprise-scale cloud planning suite that includes demand planning as one module within a much larger platform spanning supply planning, inventory, and S&OP typically requiring significant IT resources and a longer implementation timeline.
Forecast Pro is a standalone, purpose-built forecasting specialist that organizations can deploy in days or weeks rather than months, without replacing their existing ERP or planning systems. For organizations that need highly accurate, statistically rigorous demand forecasts without a large enterprise planning rollout, Forecast Pro offers a faster, more focused path to better forecast accuracy. Compare Forecast Pro to typical enterprise platforms.
Forecast Pro vs. Microsoft Dynamics 365: What’s the Difference?
Microsoft Dynamics 365 Supply Chain Management includes a demand planning app built into its broader ERP environment, which can work well for organizations already standardized on the Dynamics 365 platform.
Forecast Pro takes a different approach as a dedicated forecasting specialist: it connects to Dynamics 365 and other ERP systems via ODBC and standard integrations, applying automatic statistical model selection and machine learning refined over 40+ years, rather than asking planners to configure forecasting logic inside a broader ERP module. Organizations often add Forecast Pro when they want deeper forecasting accuracy and a faster path to value than a native ERP forecasting module provides on its own.
Forecast Pro vs. NetSuite Demand Planning: What’s the Difference?
NetSuite includes a built-in demand planning module as part of its broader ERP and MRP suite, which is useful for organizations that want forecasting to live inside NetSuite itself.
Forecast Pro specializes exclusively in demand forecasting, applying automatic model selection across statistical methods like Holt-Winters, Box-Jenkins, and Croston’s method, plus machine learning. It connects to NetSuite and other ERP systems via ODBC rather than being limited to one ERP’s native planning logic. Organizations that need more forecasting depth, transparency, and accuracy than a built-in ERP module offers often pair Forecast Pro with NetSuite rather than relying on NetSuite’s native forecasting alone.
Which edition is right for me?
Both Forecast Pro Professional and Forecast Pro TRAC are powerful, accurate, easy-to-use forecasting tools – the right edition depends on your business needs.
Forecast Pro TRAC delivers accurate, reliable forecasts for data-driven decisions, along with the structure to support S&OP and sustain a rigorous, ongoing forecasting process. It combines forecast accuracy tracking, advanced reporting, S&OP capabilities and seamless collaboration tools built for forecasting and planning teams. It’s trusted across industries including Food & Beverage, CPG, Manufacturing, Biotech, and Medical Devices.
Forecast Pro Professional is built for organizations that need accurate, reliable forecasts to support high-level, data-driven decisions. It’s widely used in industries such as pharmaceuticals, telecommunications, insurance, and government.
Still wondering which edition is right for you? Get in touch with one of our Forecast Pro experts.
What training is offered and available?
We offer both web-based and on-site training and recommend budgeting 8 hours of web-based training services when licensing Forecast Pro Professional and 16 hours when licensing Forecast Pro TRAC.
Web-based training includes live sessions with our forecasting experts that cover standard topics or a customized curriculum.
On-site training brings our forecasting experts to you or invites you to join us in our offices near Boston for comprehensive in-person training and consulting.
Our experts are available to help you get up to speed quickly. Learn more.
Do you offer volume discounts?
Yes. We offer volume pricing for Forecast Pro TRAC. The more users you add, the lower the per-user cost. Get in touch for a custom quote.
What is included with my subscription?
All subscriptions include the software license, technical support, and all updates released during your subscription period.
What license types are offered for Forecast Pro TRAC?
Different license types are available based on role and user need. Pricing is dependent on the number of licenses, with bundled discounts. Learn more about licensing.
Can I upgrade from Forecast Pro Professional to Forecast Pro TRAC?
Yes. You can upgrade at any time. Contact our sales team or book time with us and we’ll apply your existing investment toward the upgraded version.
