AI DEMAND FORECASTING

AI Demand Forecasting Software for CPG, Retail, and Consumer Brands

TrueGradient generates probabilistic SKU × store × channel forecasts powered by a proprietary neural network — built for the real-world complexity of modern consumer goods supply chains.
Demand isn't static. It's shaped daily by promotions, pricing, seasonality, new product launches, and shifting consumer behavior. TrueGradient's AI demand forecasting platform captures these non-linear signals at the granularity your planners actually decide on — replacing brittle statistical models and spreadsheet overrides with a single forecast you can trust. Teams that replace spreadsheet demand planning with AI see results in 30–90 days.
Trusted by leading CPG, retail and consumer brands
TrueGradient's customer Angelcare
TrueGradient's customer Eggoz
TrueGradient's customer Franklin Sports
TrueGradient's customer Hexclad
TrueGradient's customer Kapiva
TrueGradient's customer Monte Carlo

Forecasts That Learn from the Past and Respond to What's Coming Next

Traditional demand forecasting looks backward — averaging historical sales and projecting linear trends forward. That breaks the moment a promotion lands, a competitor cuts price, or a new SKU enters the assortment. TrueGradient ingests deep historical demand patterns and continuously incorporates forward-looking signals, so the integrated demand planning forecast adapts before the variance shows up in your service levels.
Promotions and pricing changes
Quantifies historical lift, cannibalization on adjacent SKUs, and halo effect across the category before each campaign goes live.
Holidays and seasonality
Full retail-calendar coverage including Black Friday, Cyber Week, back-to-school, Super Bowl, and regional event windows.
New product launches
Cold-start forecasting via attribute-based similar-product matching, so day-one demand is modeled before sales history exists.
External market signals
Weather, macroeconomic indicators, local events, and competitor pricing where data is available.

A Neural Network Architecture Built for Non-Linear Demand

TrueGradient is powered by a proprietary neural network architecture designed to capture the complex, non-linear relationships and long-range dependencies that legacy statistical models systematically miss. The model handles hundreds of demand drivers simultaneously, learns which drivers matter for which SKU clusters, and reweights them as patterns shift.
Every forecast is probabilistic — the platform outputs not just a point prediction, but a full distribution (P10 / P50 / P90), so your planners can size safety stock, capacity, and commercial commitments against an actual risk profile rather than a single number that's wrong in one direction or another.
Deep learning
Captures non-linear interactions and long-range dependencies across thousands of SKUs simultaneously.
Driver-aware modeling
Promotions, price, weather, and events enter the model as features, not afterthoughts.
Probabilistic outputs
P10 / P50 / P90 forecasts let teams plan against uncertainty, not averages.

Forecasts at the Granularity Where Decisions Actually Get Made

Most planning platforms forecast at regional or weekly aggregates and force teams to disaggregate downstream — losing accuracy at exactly the level where replenishment, allocation, and production decisions are made. TrueGradient generates forecasts directly at the operating grain.
SKU × Store × Channel for Retail
SKU × DC × Account for Consumer Goods
SKU × Channel for D2C & Digital Brands
The same model that produces aggregate plan-level numbers produces store-day and account-week numbers. There is no separate disaggregation step that introduces error, and no second tool to maintain. Planning, replenishment, and allocation teams all consume the same forecast at the granularity they need. Connect it directly to replenishment and allocation workflows without a translation layer.

The Business Impact of Accurate AI Demand Forecasting

Better forecasts compound through every downstream decision — from end-to-end inventory optimization to service level commitments. With TrueGradient, consumer brands and retailers consistently see:

8–15% lift in forecast accuracy

15–30% reduction in working capital

2–4% expansion in gross margin

Days, not quarters to first production forecast — typical TrueGradient deployment in 30–90 days vs. 12–18 months for legacy APS platforms

Every percentage point of forecast accuracy at the SKU × store × week level translates directly into working capital released, service levels protected, and markdown exposure avoided. See how to grow revenue and margin by optimizing your supply chain and what the first 90 days of planning with TrueGradient look like.
“What stands out about TrueGradient is the depth and maturity of their predictive demand modeling. The platform allows us to explore more advanced approaches while staying grounded in explainable, decision-ready insights. It feels purpose-built for where demand forecasting is going, not where it's been.”
Scott Kennedy, VP Digital Strategy & Analytics at Franklin Sports
Scott Kennedy
VP Digital Strategy & Analytics, Franklin Sports
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Built for enterprise CPG & retail
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Get clarity before your
next planning cycle

Turn complex demand signals into clear, confident decisions — without adding more tools or manual work. See your accuracy lift on your own SKUs before you commit to anything.