Teamremited provides a commerce AI platform that aggregates real‑world purchase receipts from online and offline channels into a unified dataset. Using AI, it delivers detailed consumer insights—such as product affinity, purchase context, and churn risk—and offers an integrated dashboard plus chat interface for market analysis, segmentation, and data‑driven campaign execution.
Funding
$359.5K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HISTTGFounders
Product
Problem
Brands, advertisers, and retailers lack reliable data on offline purchase behavior, making it difficult to measure campaign effectiveness, understand customer motivations, and target the right audience. Existing data sources often miss the context of who bought what, where, and why, especially for convenience‑store and other brick‑and‑mortar transactions.
Solution
Teamremited aggregates real‑world purchase receipts from both online and offline channels into a unified dataset. Using AI, the platform transforms raw receipt information into detailed consumer insights, including product affinity, purchase context, and segment‑level behavior. Clients can explore market share, related product purchases, and churn risk through an integrated analytics dashboard, and then launch data‑driven marketing campaigns directly from the same system. An AI‑powered chat interface enables on‑demand querying of the data, allowing rapid hypothesis testing and decision making. By linking actual transaction data to marketing actions, the platform improves attribution, optimizes targeting, and supports new‑product launch strategies.
Target Audience
Primary customers are consumer brands, retail chains, and marketing agencies that need granular offline purchase insights to inform targeting, product launches, and retention strategies.
Features
- Receipt ingestion pipeline that collects and normalizes millions of offline and online purchase records
- AI-driven market analysis showing brand share, co‑purchase patterns, and regional performance
- Automated customer segmentation with churn risk scoring and KPI monitoring
- End‑to‑end campaign tools that translate insight into targeted promotions and mission‑based campaigns
- Interactive AI chat assistant for real‑time, natural‑language queries of the purchase dataset
- Dashboard visualizations for store‑level comparison, competitor analysis, and product adoption tracking