Bilt Acquires Banyan for Item-Level Receipts
Bilt
This acquisition turns Bilt from a network that knows where cardholders spent money into one that can understand what they actually bought, which makes its merchant offers and benefits workflows much more precise. Instead of rewarding any swipe at a nearby store, Bilt can now match rewards and reimbursement rules to specific items on the receipt, which is the kind of data layer that supports closed loop local commerce and automated FSA and HSA claims.
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Banyan was built around item level receipt data, and Bilt said the business had analyzed more than 20 billion receipts covering hundreds of billions of dollars in spend. That matters because raw card transaction data usually shows only merchant, amount, and date, not whether the purchase was aspirin, groceries, or a gym membership.
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The practical use case is benefits substantiation. FSA and HSA reimbursement often depends on proving that a specific item was eligible, not just that a purchase happened at CVS or Target. Receipt level parsing lets Bilt identify eligible line items and automate claim categorization inside the same consumer app where rent, card spend, and rewards already live.
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The same data also improves merchant economics. Bilt can show a restaurant, salon, or retailer not just that a member visited, but whether a promoted product or category was purchased, which makes neighborhood offers more measurable. That is similar to how Klarna used SKU level transaction data to make retail recommendations and merchant promotions more targeted.
Going forward, Bilt is positioned to stack item level commerce data on top of rent payments, credit building, and local merchant distribution, creating a broader consumer financial hub around the home address. The next step is turning that data into more automated benefits, more accountable merchant marketing, and more reasons for members to keep spending inside Bilt's network beyond rent day.