Venu embeds a lightweight middleware layer into existing POS terminals to capture tokenized payment data and device fingerprints, automatically creating and enriching deterministic customer profiles without a sign‑up step. The platform streams de‑duplicated, PCI‑DSS‑compliant data to a cloud‑native analytics engine, offering real‑time cohort segmentation, LTV modeling, and churn insights via a web dashboard and open API for CRM and marketing automation integration.
Funding
Funding not disclosed
Founders
Product
Problem
Retail and hospitality merchants rely on point‑of‑sale (POS) terminals that record only anonymous payment tokens, preventing them from linking transactions to individual customers. Traditional loyalty programs capture a small fraction of shoppers, limiting the ability to grow a usable customer database and to measure retention effectively.
Solution
Venu embeds a lightweight middleware layer directly into existing payment terminals, intercepting transaction data at the point of authorization and enriching it with device‑generated identifiers. The platform automatically creates and updates a unified customer profile for each shopper without requiring a sign‑up step, driving enrollment rates far above industry averages. Enriched data is streamed in real time to a cloud‑native analytics engine that normalizes, de‑duplicates, and stores the information in a PCI‑DSS‑compliant data lake. Merchants access a web‑based dashboard that surfaces cohort segmentation, purchase frequency, and churn indicators, enabling data‑driven marketing and personalized offers. The solution also offers an open API for downstream CRM, marketing automation, and BI tools, allowing seamless integration into existing tech stacks.
Target Audience
The primary customers are mid‑size to large brick‑and‑mortar retailers, quick‑service restaurants, and hospitality chains that operate networked POS terminals and seek to convert anonymous transactions into actionable customer intelligence.
Features
- Terminal‑level SDK that captures tokenized card data and device fingerprints with zero latency
- Automatic profile creation and incremental enrichment using deterministic matching algorithms
- Real‑time de‑duplication and GDPR/PCI‑DSS compliant data storage in a scalable cloud data lake
- Configurable rule engine for loyalty tiering, reward triggers, and automated enrollment flows
- Interactive analytics dashboard with cohort analysis, LTV modeling, and retention heatmaps
- RESTful API and webhooks for bi‑directional sync with third‑party CRM, email, and advertising platforms
- Built‑in consent management and opt‑out controls to maintain regulatory compliance