How a Leading Retailer Cut P&L Forecasting From 60 minutes to 1 minute
98% efficiency gain in P&L forecasting | 90% efficiency gain in sales analysis | 80% efficiency gain in budget optimization | 80% GMV growth
A personal care retailer’s ecommerce team was trapped in manual work. P&L forecasting: 60 minutes. Budget optimization: 5 minutes per query. Sales analysis: 10 minutes per request. The team spent their time pulling data from multiple systems and reconciling numbers, not making decisions. By the time insights were ready, the opportunity had often passed. SKU-level performance went unanalyzed because nobody had time to dig. Product potential was going unrecognized.
ADA deployed AI Command Center with CoPilot, enabling natural language queries against commerce data. The team could ask “What’s the P&L forecast for next month?” and get an answer in one minute instead of building a 60-minute report.
The system surfaced SKU-level patterns the team had never seen products underperforming relative to category benchmarks, inventory imbalances across channels, campaign timing mismatches. Analysts stopped building spreadsheets and started acting on recommendations.
