On-shelf availability, pricing, promo and surveys across every chain and country — in one automated loop: tasks create themselves, experts close them in the mobile app, and the data lands on dashboards in real time.
While location data takes weeks to reach a report, the brand loses sales every day — to empty shelves, broken pricing and promos that never ran.
Out-of-stock eats up to 8% of category revenue. Teams find out from the monthly report — after the shopper has already gone to a competitor.
RRP violations of up to ±15% between chains and cities break positioning and partner margins — and nobody has the time to compile price monitoring by hand.
Up to 40% of trade promos launch late or run off-mechanic in the field. The budget is spent, the effect never happens, and nobody is accountable.
No "drop a photo in the chat" and no manual summaries. The platform runs the full cycle itself — people only make the decisions.
One-off and recurring tasks on schedule: OOS rounds, price checks, promo audits. They appear automatically at shift start — the expert misses nothing.
Start Shift → the location's tasks → statuses in three taps, photos of price tags and displays, a barcode scanner. Works offline and syncs on its own.
Two-step task approval, AI photo verification, live shift statuses for every employee. An RRP deviation or an empty shelf triggers an instant manager alert.
Live dashboards by market, chain and SKU. Reports are assembled in a builder and delivered on schedule — no more late-night Excel.
On-shelf availability monitoring: scheduled rounds, status in three taps — In stock / Low / Out. An empty shelf is instantly flagged to the manager and on the chain dashboard.
Price tag photos from the app, price recognition, comparison against the market's RRP. Increase / Decrease / New / Discontinue indicators and deviation alerts.
A catalog of mechanics and discounts, launch and audit tasks for campaigns, photo proof of execution. A dedicated dashboard for the CP manager: where promos actually work.
A survey builder: 6 question types, conditional logic, a template library and an approval cycle. Experts complete surveys right in the app, at the location.
Sales campaigns with barcode registration and a personal expert rating. Gift handouts with photo proof and an auditor report — incentives become transparent.
Start / End Shift in the app, a live status for every employee, monitoring of late arrivals and missed shifts with management notifications. See who is at the location right now.
A native iOS and Android app — the single tool for field experts and brand ambassadors. No messengers, forwarded photos or lost tasks.
A KPI feed, an activity map, critical alerts, team performance and cross-module insights: price dropped → OOS rose → the promo didn't work.
Countries, currencies, time zones, SKU catalogs and RRP per market. Brand HQ sees every market; local teams see their own.
Flexible roles with button-level permissions: admin, supervisor, CP manager, expert, brand ambassador, auditor. Everyone sees exactly their slice of the data.
Every action by every user is logged — with filters, change history and auditor export. "Who changed the price" disputes are gone.
One loop covers on-shelf availability, price versus RRP, promo execution and surveys — across every chain and country, with photos and data flowing into a single dashboard in real time.
Both. Field photos are recognised automatically to read the shelf, and the result is reconciled with sales and stock data where the chain provides it, so an empty shelf is caught even when the system stock says otherwise.
No. The expert app runs on an ordinary smartphone: tasks, photo capture with authenticity checks, and offline mode for stores with poor connectivity — everything syncs when the signal returns.
Yes. Price tags are read from photos, deviations from the recommended price trigger alerts by chain, region and SKU, and the history shows whether a violation is a one-off or a pattern.
They ride on the same visits. A promo display check, a competitor survey or a planogram audit is just another task in the app, so one visit feeds several teams without extra field cost.
A pilot on one region or one chain typically runs 30 days: task templates and recognition are configured for your SKUs and planograms, and the pilot ends with a coverage report and a scale-up plan.
We roll out in staged two-week releases: the first modules run in production within two weeks — no waiting for the end of the project.