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You just oversold 2,000 units on Shopify because your WMS says you have inventory that your POS already allocated to wholesale. The same SKU has a different identifier in your POS system, your e-commerce backend, and your wholesale portal. Returns data never reaches merchandising. And your 'unified customer view' is actually three disconnected profiles stitched together with email matching that breaks every time someone uses a different address.
Each channel — marketplace, DTC, wholesale, brick-and-mortar — maintains its own inventory count, its own customer records, its own performance metrics. Returns data lives in the logistics system, disconnected from sell-through data in the merchandising system.
Trade promotions generate hundreds of campaigns per year, but nobody can tell which ones drove incremental lift because retailer POS data, shipment data, and marketing spend sit in three different platforms.
The same customer is three different people in your system. Your LTV calculations are fiction. You're toggling between systems — a16z puts the average at 1,200 times per day — instead of running your business from one place.
IHL Group estimates that inventory distortion — the combined cost of out-of-stocks and overstocks — costs global retailers $1.77 trillion annually.
You're reordering SKUs with 30%+ return rates because the buying team never sees the returns data. You're running promotions blind because the data to measure lift is in three systems that don't talk to each other.
Every day you operate with disconnected channel data, you're cannibalizing your own margins.
A single, canonical identity for every product and every customer across all channels.
AI agents query live inventory, cross-reference returns against sell-through, and surface the SKUs, promotions, and customer segments that actually drive margin — not just revenue.
30 minutes. We'll map what's broken, show you what to build first, and connect Agent Lake to your stack.
Talk About Retail & E-commerce30 minutes. We'll map your current data landscape, identify what to build first, and show you how Agent Lake connects to your stack. No pitch deck. No commitment.