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Consumer & Retail
Rebuild trade promotion, demand sensing, and shopper marketing with AI that touches the P&L.
AI agents across innovation, demand, trade, and shopper for CPG and consumer brands.
Market Context
Global CPG market
Annual trade promotion spend in US alone
Of trade promotions deliver positive ROI
Of new products fail in first 2 years
Industry View
CPG companies are squeezed between retailer power, private-label pressure, and direct-to-consumer disruption. The traditional commercial model is breaking. AI rebuilds the demand-sensing, trade-promotion, and shopper-marketing workflows.
ClearForge deploys production AI inside CPG planning, trade, and innovation workflows where margin lives.
Consumer Products Value Chain
The full operating value chain for consumer products — and the specific activities ClearForge automates or runs as AI agents inside each function.20 addressable activities across 5 functions.
Move from instinct-based innovation to evidence-driven launches.
Agent synthesizes social, review, and primary research into insight
Cycle compression weeks to days
Auto-generate and test concept variations against target audience
Test 10x more concepts at lower cost
Continuous watch on competitor launches, claims, pricing
Days-fresh competitive intelligence
Predict launch success probability and prioritize innovation pipeline
Lift launch hit-rate 15-30%
Forecast demand at the SKU/customer/region level with continuously updated signals.
Daily forecast updates using POS, inventory, promo, and weather data
20-40% forecast error reduction
Predict promo lift, cannibalization, halo by event and SKU
5-15% promo ROI lift
Use analog products + channel signals to forecast launches
Reduce launch over/under-forecast 40%
Pre-write S&OP narrative with demand drivers and risks
50% reduction in planner prep
Close the trade-spend leakage and lift price/mix.
Recommend promo plans by retailer/SKU based on past ROI
5-15% trade ROI improvement
Recommend price changes and pack-size mix by channel
1-3% revenue lift, 2-5% margin lift
Identify mix-shift opportunities at the customer level
0.5-1.5 pt margin recapture
Auto-classify and dispute deductions; agent drafts dispute letters
20-40% deduction recovery
Drive better in-store and online execution per account.
Daily store-call list ranked by opportunity and execution gap
Lift call effectiveness 20-30%
Vision model checks planogram compliance and OSA from photos
10x audit coverage at lower cost
Pre-build JBP analytics and recommendations per top customer
50% reduction in prep time per JBP
Monitor digital shelf, content quality, and pricing across retailers
Catch issues in hours, not weeks
Personalize at scale and prove marketing ROI.
Generate ad and packaging variants by audience and channel
5-10x creative throughput
Optimize media spend across channels with continuous calibration
10-25% MROI lift
Personalize offers and content per shopper at retailer scale
15-30% redemption lift
Continuous brand health, sentiment, and equity tracking
Same-day visibility into brand erosion
Industry Challenges
Most CPG promo spend produces negative ROI. Manual planning and post-promo evaluation cannot fix the cycle.
Forecast accuracy gates inventory, service, and waste. Most CPGs run with 30%+ error at the SKU level.
70% of new products fail in first 2 years. Concept testing is too slow and shallow to catch winners early.
Retailer concentration squeezes margin. Without granular RGM, mid-cap CPGs cede pricing to bigger competitors.
The Forge Method
The Forge Method for CPG starts with the highest-leverage workflow — typically RGM, demand sensing, or trade promotion. Sprint deploys 1-2 production agents integrated to ERP, planning, and trade-management systems. Scale operates the agents and expands across categories and customers.
4 wks
Forge Diagnostic
10 wks
Forge Sprint to production
Ongoing
Forge Scale operating cadence
Forge Intelligence™ generates a personalized AI value chain from your website — every function, every activity, with the specific automations we'd ship first.