On‑ground provides an AI‑driven marketing operating system that captures audio and video in physical stores, merges those signals with online browsing, CRM, and marketplace data, and creates a unified ShopperDNA™ profile for each visitor. Real‑time intent scores trigger autonomous, personalized omnichannel campaigns via SMS, WhatsApp, email, and voice AI, while a reinforcement‑learning engine continuously optimizes campaign performance and attributes revenue lift.
Funding
Funding not disclosed
Founders
Product
Problem
Retail and other high‑value businesses capture limited data from in‑store interactions, relying on manual logging or disconnected systems, which leaves shopper intent invisible and hampers effective follow‑up. This creates a gap between offline visits and online marketing, leading to missed revenue opportunities and inefficient customer acquisition.
Solution
On‑ground offers an AI‑driven marketing operating system that continuously captures audio and video signals in physical stores, combines them with online browsing, CRM, and marketplace data to build a unified ShopperDNA™ profile for each visitor. Real‑time intent scoring (0‑100) enables autonomous agents to launch personalized omnichannel campaigns via SMS, WhatsApp, email, and voice AI, while a reinforcement‑learning engine iteratively optimizes campaign variants and attributes results. The platform closes the offline‑to‑online loop, providing marketers with actionable insights and measurable lift without requiring staff to log interactions.
Target Audience
Primary customers are marketing teams in premium retail, automotive, jewelry, BFSI, and real‑estate brands that need to capture and act on in‑store shopper intent to drive online conversions.
Features
- Audio and video AI capture of every in‑store conversation and visual cue, eliminating manual data entry
- Unified ShopperDNA™ profile that fuses offline signals with online browse history, CRM records, and marketplace data
- Real‑time intent scoring per session to prioritize high‑value shoppers for outreach
- Autonomous agents that execute personalized campaigns across SMS, WhatsApp, email, and voice AI calling
- Reinforcement‑learning engine that continuously tests and selects winning campaign variants
- Closed‑loop attribution linking in‑store signals to digital nurture outcomes and revenue impact
- CMO oversight interface for approving edge cases while the system operates autonomously