AI Demand Planning Software for CPG, Retail, and Consumer Brands
TrueGradient combines probabilistic ML forecasting with agentic AI co-pilots and a planner-in-the-loop workspace — purpose-built for the operating reality of demand planning teams at modern consumer brands.
Demand planning has outgrown spreadsheets. Volatility has compressed cycles, channels have fragmented, and promotional intensity has risen. TrueGradient's AI demand planning software replaces the patchwork of forecasting tools, planning sheets, and S&OP decks with a single workbench where AI generates the forecast, agents monitor the exceptions, and planners decide where their judgment moves the number.
Trusted by demand planning teams at leading CPG, retail, and consumer brands
One unified workspace for AI demand planning
Most demand planning organizations operate across a fragmented stack: a statistical forecasting tool, separate planning sheets per region or category, an S&OP deck stitched together for executives, and a parallel set of override workbooks the planners actually trust. Every cycle costs days of reconciliation before a single decision is made.
TrueGradient consolidates the workflow into a single AI demand planning workbench. Probabilistic forecasts, business context, promotional plans, supply constraints, and inventory positions live in one workspace. The forecast a planner reviews on Monday is the same forecast supply commits against on Tuesday and finance reconciles on Wednesday — no exports, no version drift, no reconciliation tax.
Plan with causal context, not just historical data
Traditional demand planning systems treat the forecast as a single number to be defended in a meeting. TrueGradient treats it as a structured decomposition — baseline, promotional uplift, halo, cannibalization, event effects, trend, and seasonality — every layer visible, every driver explainable. Planners do not have to take the model on faith. They see why the forecast moved, which drivers contributed, and which historical patterns the model is leaning on. When their commercial knowledge points to something the model cannot see — a soft launch in a specific account, a competitor stockout, a marketing program that will not show up in last year's data — they override with full attribution, and the platform tracks whether that override added or subtracted value. This is the foundation of Forecast Value Add (FVA) governance built into the demand planning workflow.
Run what-if demand planning scenarios in real time
TrueGradient runs scenarios on the live AI demand planning model, so planners can test promotional plans, price changes, supply disruptions, or market shifts and see the demand, inventory, and service-level impact in seconds. The scenario is not a parallel artifact — it is the same forecast model executed with different assumptions, with the result available in the same workspace where planners review the baseline.
Built for the operating reality of demand planning teams
Demand planning teams do not get to operate in a clean lab. They run weekly S&OP cycles, handle exception lists in the hundreds, defend forecasts to commercial stakeholders, and re-plan when a customer changes its order pattern mid-quarter. TrueGradient is built around that reality.
Explainable recommendations
Every AI demand planning recommendation surfaces the drivers behind it, so planners can defend, override, or accept with confidence. No black box.
Agentic AI co-pilots
Monitoring agents track the full SKU portfolio continuously and surface only the exceptions that warrant attention. Planner workload drops 60–70%.
No-code, self-serve
Planners configure scenarios, run what-ifs, and adjust drivers without data-science support or a six-month implementation queue.
The business impact of AI-powered demand planning
Better demand planning compounds through every downstream decision. With TrueGradient, consumer brands and retailers consistently see:
8–15% lift in forecast accuracy
60–70% reduction in planner time on manual data wrangling and routine forecast overrides
Days, not quarters to first production-grade demand plan — typical TrueGradient deployment in 30–90 days vs. 12–18 months for legacy APS platforms
Every percentage point of forecast accuracy at the SKU × channel × week level translates directly into working capital released, service levels protected, and markdown exposure avoided.
“We chose TrueGradient for its AI-driven platform and deep CPG expertise. It is already boosting forecast accuracy, service levels, and logistics efficiency.”
Kisah: 2× seasonal growth
TrueGradient was pivotal in driving seasonal sales by minimising stockouts through accurate demand predictions and stock planning.
Read case study →Angelcare: 32% forecast accuracy lift
We chose TrueGradient for its AI-driven platform and deep CPG expertise. It is already boosting forecast accuracy, service levels, and logistics efficiency.
Read case study →Connect demand planning to the rest of your planning stack
Also see integrated business planning for enterprise-wide alignment.
Get clarity before your next
planning cycle
Turn complex demand signals into clear, confident decisions without adding more tools or manual work.
For Shopify Brands
Optimize inventory, prevent stockouts, and boost profits.
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TrueGradient is a no-code self-serve AI product for supply chain optimization founded in 2023.
