Cut overstock and tighten forecasts with demand planning and nightly reporting
Stock coverage against expected demand
Reorder decisions in one view
Where work gets stuck
Poor demand forecasting leads to lost sales from stockouts and tied-up capital from excess inventory.
Difficulty measuring true ROAS and optimizing ad spend across multiple platforms.
Inability to identify at-risk customers and implement retention strategies before they leave.
Manual pricing decisions leave money on the table or price products out of the market.
Practical starting points
Automated forecasting and replenishment workflows that cut overstock 25%+ and keep inventory decisions on a nightly cadence.
Power BI · Python · Sales Platform APIs · Forecasting Models
Nightly sales and channel reporting that clarifies ROAS and shows which campaigns drive revenue—not vanity metrics.
Google Analytics API · Ads Platform APIs · Power BI · Shopify / Amazon APIs
Same-day KPI packs for owners and ops leads covering conversion, AOV, inventory health, and fulfillment exceptions.
Power BI · Shopify API · Amazon SP-API · Automated Email Digests
Measure what changes
We agree on a measure and review it before and after the pilot. Targets depend on your current process and the scope we choose together.
Bring one repetitive task to a free 30-minute audit. We’ll discuss scope, ownership, and how to measure a useful pilot.
Book a free audit