In-Store Conditions is a SaaS solution that gives CPG brands daily visibility into how their products perform on retail shelves. When an Instacart Shopper picks an item, it's found, replaced, or refunded, and that's captured at the store, UPC, and time-stamp level. With 10M+ daily observations from roughly 600,000 shoppers in stores each month, you can see your products on the shelf, where your gaps are, and what it's costing you, while there's still time to act.

CPG brands that lose sales to out-of-stocks, compliance gaps, and missed promotions but can't see the problem fast enough to fix it. It's built for the teams closest to that revenue. Sales teams walking into retailer meetings who need every UPC benchmarked banner by banner. Demand planners tracking availability through key seasons and promotions. Field and merchandising teams deciding which stores to visit. Brand and category leads who need to quantify what a gap costs. Anyone whose job is keeping product on the shelf and proving it to a retailer.

It closes the gap between when a problem happens and when you hear about it. CPGs lose billions a year to execution failures, mostly because the data meant to catch them reports the past. Syndicated sources lag 10 days to 2 weeks, and retailer feeds run about 36 hours behind. In-Store Conditions surfaces the gap daily. It puts a dollar figure on lost sales tied to the exact store and UPC, ranks them by revenue at risk so field hours go where the money is, flags stores hitting the same issue across consecutive days, and tells you whether a stockout cost you a brand switch or a lost sale entirely. The payoff is fewer wasted store visits and a number you can show a retailer.

Coverage, speed, and signal together. Traditional audits cover 2,000 to 4,000 stores stretched to represent the whole country; a sample retailers dismiss as unrepresentative. In-Store Conditions reads nearly 100,000 locations across 2,200+ banners, refreshed every day. It reflects what consumers actually tried to buy, not modeled estimates, so you see real lost sales instead of projections. It also captures something no other source offers: whether a stockout sent a consumer to a rival brand or out the door. If an Instacart Shopper can't find an item, odds are a regular consumer can't either.