AI · SHELF RECOGNITION
Connect the outlet photo to its visit, shelf standard and accountable next action - from image-quality checks to a verified correction.
Start with usable evidence
More than boxes on a photo
From photo to verified correction
The photo is recorded with the outlet, visit, time and assigned task.
The photo is compared with approved catalogue, planogram and outlet rules.
The correction receives an owner, a clear instruction and a deadline.
A new photo confirms the correction or returns the task for further work.
One shelf - different management decisions
Readiness before demo accuracy
Consistent codes, names, brands, categories and active-product statuses.
Front-facing images and design versions for the launch market and period.
The correct standard assigned to each outlet format, category and promotion period.
Guidance for angle, lighting, shelf coverage and a required retake.
Role access, retention, disputed results and an audit trail of corrections.
For the shelf-control decision
Buyers should see more than photo recognition: they need a reviewable path from an image to corrected execution and confirmed follow-up.
No. Results depend on assortment, reference quality, angle, lighting and occlusion. Test the solution on an agreed set of real material.
No. It turns photographs into reviewable discrepancies and recommendations; an employee or manager confirms the context and performs the next action.
Role-based access, retention and purpose are set by the customer’s policy. Agree and test those rules before productive use.
Platform scale
Shared customer, outlet and SKU master data connects each operation with sales, inventory, finance and analytics.
active mid-sized and large companies in Central Asia
daily active users
confirmed integrations
Tell us about your categories, SKUs and shelf standards. We will agree on examples for evaluating recognition and a human-review process for disputed results.
