S&OP Agent for planning team
From static S&OP cycles to agent-led planning

In Consumer Packaged Goods (CPG) and Retail, planning complexity compounds fast.
- > Demand fluctuates across SKUs, channels, and regions
- > Promotions distort signals
- > Supply constraints surface late
- > Inventory swings between excess and stock-outs
Yet most S&OP processes still operate as monthly rituals—driven by spreadsheets, manual overrides, and last-minute consensus.
TrueGradient changes this paradigm with an AI-native S&OP Agent—built to support CPG planners to become thought partner in enriching forecast.

Instead of navigating dashboards or running static reports, planners start with intent.
- “Calculate the YoY change in forecast for Furniture Category”
- “Identify excess stock risk for the next 90 days”
- “Simulate supply impact if demand increases by 10%”
The S&OP Agent translates natural-language questions into:
- Forecast analysis
- Inventory diagnostics
- Scenario simulations
This shifts planning from tool-driven workflows to decision-driven conversations.
Using Agents to arrive at the most optimal forecast while demand planning

In CPG & Retail, forecast accuracy isn’t enough. Planners need context.
The S&OP Agent continuously evaluates:
- Forecast vs actuals at item-store level
- YoY growth trends
- Short-term and medium-term sales momentum
Instead of just showing numbers, the agent explains:
- Where demand is structurally changing
- Where recent sales diverge from plan
- Which SKUs and locations need attention
This creates a shared demand narrative across planning, sales, and leadership.



