Inventory that thinks ahead.
SKU-level margins, predictive replenishment, and answers in plain English — one source of truth for profit.
Book a Free Discovery Call// 30-minute call · no pitch deck · we map your workflows live
What this looks like in your store.
Predictive restock alerts
Sales velocity and supplier lead times combined — reorder before the stockout, not after.
SKU-level margin analysis
Know which products actually make money, down to the variant.
Dead-stock detection
Slow movers flagged with markdown scenarios modeled — cash freed up, not buried.
BigQuery data layer
Your store data unified in a real warehouse — the intelligence layer, not another spreadsheet.
Ask-in-plain-English agents
“What's running low?” “What should I reorder?” — answered by agents over your live data.
Demand forecasting
Seasonality and trend baked into reorder quantities automatically.
Predictive inventory across every variant, every store
Multi-store e-commerce brand
A BigQuery-backed inventory layer spanning tens of thousands of variants across multiple storefronts, with agents for stock lookup, predictive restock, and demand forecasting — queried in plain English.
Common questions.
We run everything in spreadsheets — is that a problem?
It's the normal starting point. We move the intelligence into a proper data layer (BigQuery) and keep spreadsheets for what they're good at: config and quick edits.
Can it handle multiple stores and thousands of SKUs?
Yes — our production builds span multiple storefronts and tens of thousands of variants. The architecture is built for multi-store from day one.
What does “query in plain English” mean?
You ask questions like “what's below 14 days of stock?” in chat, and an AI agent answers from your live inventory data — no SQL, no dashboard hunting.
See what this looks like on your stack.
A free 30-minute call. We map your workflows together and show you what's worth automating.
Book a Free Discovery Call or email contact@automated-thinking.com