Recycled photos, fake GPS check-ins, and beat plan non-compliance cost FMCG businesses millions in undetected revenue leakage each year. ZealMint's AI validates every field submission at the moment of capture — so bad data is blocked before it enters your system, not flagged weeks later in a review meeting.
Field reps submit photos taken days ago or from the wrong location. Without AI verification, managers have no way to detect fraud until revenue damage is done.
Reps skip retailer visits and mark them complete. Paper beat plans have no enforcement mechanism — non-compliance is invisible until a weekly review.
Distributor stock audits are done on paper or WhatsApp. Data arrives fragmented, unverified, and days late — making real-time inventory decisions impossible.
When a rep submits a retailer shelf photo, ZealMint's AI decodes the image in real-time — verifying GPS coordinates match the retailer location, timestamp is current, and the shelf photo shows actual products (not a blank wall or recycled image).
Fraudulent visit reports are eliminated at source. Managers stop reviewing 100% of submissions and focus only on AI-flagged exceptions.
ZealMint's Deterministic Logic enforces beat plan rules on-device: a visit cannot be submitted without a GPS-verified location matching the assigned retailer, a time-stamped photo, and completion of all mandatory form fields.
Non-compliant submissions are blocked before entering the system — not flagged after the week's damage is done.
High-value distributor audit submissions are automatically routed to a regional manager for review. They receive an AI-generated summary and risk score — not raw photos and form fields — so they can approve or flag in seconds.
Review time drops from hours to minutes. Every decision is logged in an immutable audit trail.
Deploy across your business in 24 hours. No IT team required.