CPG margins are won or lost in forecasting and distribution — and most companies are still running on spreadsheets
What We Build
What we've built for CPG (Consumer Packaged Goods) teams
SKU-level demand forecasting model
Forecasts demand across hundreds of SKUs and retail channels automatically, replacing manual models that drive stockouts and overstock.
Retail market-share tracking dashboard
Consolidates fragmented retail data into one live view, so competitive share shifts are visible before they hit your volume.
Distribution network optimization model
Models delivery routes and store-to-DC assignments against current demand and cost, finding savings a static network plan misses.
Consumer preference trend detector
Tracks gradual shifts in purchasing behavior from text and sales signals, flagging trend changes before they show up as a sales decline.
Industry Challenges
The problems your team faces — and how we solve them
Demand forecasting is still spreadsheet-driven
Planning across hundreds of SKUs and retail channels with manual models produces systematic errors that drive both stockouts and costly overstock.
Recommended solution
Process Automation & OptimizationMarket share signals are noisy and delayed
Fragmented retail data makes it hard to see where you are gaining or losing share, so competitive moves are noticed only after they have already impacted volume.
Recommended solution
Business IntelligenceDistribution costs have never been optimized
Delivery routes and store-to-DC assignments were set years ago and have never been modeled against current network demand and cost structure.
Recommended solution
Geographic DataConsumer preference shifts go unnoticed
Purchasing behavior changes gradually, and without systematic analysis your team learns about trend shifts from sales declines rather than early signals.
Recommended solution
Text & Audio AnalyticsReady to explore this for your CPG (Consumer Packaged Goods) business?
Tell us about your situation. We'll show you what's possible — in plain language.
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