CPG and food & beverage planning has zero margin for error — shelf-life constraints, promotional complexity, and retailer compliance demands make it one of the hardest planning environments. ForecastWorx uses AI to master all of it.
ForecastWorx was built by planning professionals who have implemented solutions for 45+ Fortune 500 companies across retail, wholesale, CPG, and manufacturing. Every workflow, dashboard, and AI model in this solution was informed by the real-world challenges that planning teams face — from managing promotional demand volatility and seasonal shifts to optimizing safety stock across thousands of SKU-location combinations. Below, you will find the specific problems this solution addresses, the results you can expect, and the capabilities that make it possible.
// THE PROBLEMS WE SOLVE
Perishable goods require precise inventory positioning. ForecastWorx incorporates shelf-life into replenishment logic to minimize waste while maintaining availability.
Trade promotions, retailer-specific events, and seasonal campaigns create massive demand swings. The AI engine models promotional lift and cannibalization effects.
Missed shipments and low fill rates result in chargebacks and lost shelf space. ForecastWorx optimizes production and distribution to hit retailer service level targets.
Launching new flavors, sizes, or SKUs without sales history is a constant challenge. AI-driven analog matching generates forecasts from similar product performance.
// RESULTS YOU CAN EXPECT
Incorporate product expiration dates and freshness requirements into inventory optimization and replenishment decisions.
Quantify the demand impact of trade promotions, retailer events, and pricing changes with AI-driven uplift analysis.
Identify when promotions or new products steal demand from existing items and adjust forecasts network-wide.
Connect demand forecasts to production schedules, accounting for batch sizes, changeover costs, and capacity constraints.
Forecast demand at the retailer, channel, and region level to optimize distribution and meet compliance targets.
Use analog matching and attribute-based modeling to forecast new SKUs before sales history is available.
The system incorporates shelf-life constraints into inventory optimization — ensuring stock is positioned to maximize freshness while minimizing waste and stockouts.
Yes — the AI engine detects and quantifies promotional lift, cannibalization, and halo effects from trade promotions, retailer events, and price changes.
ForecastWorx connects demand forecasts to production schedules, helping you plan batch sizes, changeovers, and raw material requirements.
ForecastWorx uses analog matching — analyzing similar products in your portfolio — combined with attribute-based modeling to generate demand curves for new items.
See how ForecastWorx handles shelf-life, promotions, and production planning with AI.
"Forecasting is not about predicting the future perfectly. It's about being less wrong, faster."— Nate Silver (adapted)