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Team
Chief Executive Officer
Chief Technology Officer
Process
Discovery
AI Strategy
Design Handoff
Timeline
2 Months
Receipt Analysis
002
An experience that enables brands to efficiently manage receipt submissions from digital and in-store purchases, transforming transaction data into actionable consumer purchasing insights.
Traditional Retail Data
Brands receive aggregate purchase trends from retailers, but have little visibility into who made each purchase.
Rediem Receipt Data
Brands gain access to individual purchase behavior tied to a known customer profile, enabling deeper insights.
Receipt uploads allowed for an omni-channel experience that enables customers to earn loyalty points from in-store purchases. And by connecting purchase behavior with profile data, engagement activity, and other customer signals, brands gain a more complete view of their audience, unlocking deeper insights into purchasing trends, retention drivers, and marketing opportunities.
Address
Date & Time
Total
Items Sold
Product SKUs
Transaction Code
Final Metadata
By analyzing receipt anatomy across a variety of retailers, I identified the metadata that could drive both customer insights and fraud prevention. Key fields including transaction date and time, transaction ID, and store address became foundational for basket analysis, purchase attribution, and receipt validation.