The Opportunity with
Merchant Categorization
Traditional merchant categorization systems (MCCs) are rigid, outdated, and lack depth — making them ill-suited for personalized advice, real-time decisioning, or rewards intelligence.
What Better Categorization Enables?
- Understand intent and behavior behind purchases
- Improve recommendation quality for cards and offers
- Build contextual agent interactions with richer merchant metadata
- Unlock personalization at the moment of transaction
The Merchant Intelligence
Layer for AI
Uthrive offers a deep merchant classification layer purpose-built for rewards intelligence and AI-native use cases.
Hierarchical Category Mapping
Granular verticals beyond MCCs
Rewards-Relevant Context Tags
E.g., Dining (local), Dining (delivery), Travel (airfare), Travel (rideshare)
LLM & Agent Ready
Designed to provide context in real-time financial agents
Wide Coverage Across U.S. Merchants
Built from millions of normalized transactions
Improve product intelligence with every merchant interaction.
Uthrive’s enriched categorization improves:
- Card and offer recommendations
- AI agent decision-making and user response quality
- Spend analysis accuracy and personalization
- Merchant-level reporting and loyalty insights
How It Works
Enrich Every Transaction in Real Time
INPUTRaw Merchant
String or ID
From transaction
feeds or POS
ReceiveStructured Merchant
Classification
Returns vertical,
subvertical, tags,
reward-type hints
Applyto UI or Agent
Logic
Power embedded advice,
categorization, and
behavioral nudges
Your edge in precision and performance.
Uthrive bridges the last mile of merchant intelligence for AI and rewards-based personalization:
Purpose-built
categorization for
commerce and rewards
Real-time
performance for
LLMs and agents
Dynamic tagging for
card, cashback, travel,
and loyalty relevance
Continuously
trained on U.S.
merchant behavior
