Retail AI Transformation

INDUSTRY-SPECIFIC PROBLEMS

Revenue slipping through pricing gaps, promotion inefficiencies, and inventory mismatches.

Trade spend and promotional investments delivering unclear ROI and limited incremental revenue.

Demand forecasting errors leading to production inefficiencies, stockouts, and lost revenue opportunities.

Multi-channel distribution with fragmented data across retailers, distributors, and DTC channels creating visibility gaps.

Turn fragmented sales, trade promotion, and retailer data into true incremental revenue visibility.

Baseline vs Incremental Measurement Accurately measure true incremental revenue from promotions and initiatives

Promotion Effectiveness Tracking Real-time visibility into which promotions drive incremental revenue

Margin by SKU / Retailer Granular margin analysis across products and channel partners

Forecast Accuracy Improvement AI-powered demand forecasting that reduces errors and improves planning

Embed structured intelligence into pricing and trade decisions.

Discount Guardrails Automated rules that protect margins while enabling competitive pricing

Promotion ROI Simulation Predict promotion outcomes before execution to optimize trade spend

Sales Capacity Modeling AI models that predict sales capacity across channels and territories

Scenario Planning What-if analysis for pricing, promotion, and distribution decisions

Build the durable foundation that supports ongoing revenue control.

CRM and Trade Data Structuring Clean, unified data architecture that connects sales, trade, and retailer data

Clean Revenue Data Pipelines Automated data pipelines that ensure accurate, timely revenue intelligence

Automated Performance Reporting Executive dashboards that track revenue, margin, and promotion performance

Internal AI Copilots for Commercial Teams AI assistants that help sales and commercial teams make data-driven decisions

AI-Driven Margin Expansion and
2-4% Gross Margin Improvement