Reduce stockouts and pricing errors across Indonesian stores

Keep shelves stocked, prices accurate and products easy to find with Fynd OnShelf, built for retailers across Indonesia

Fynd OnShelf AI shelf scanning system in a retail store aisle

Improve shelf availability and execution across Indonesia

Results retailers rely on

15 hours saved per week per store by reducing time spent on manual audits and photo checks

15 hours saved per week per store by reducing time spent on manual audits and photo checks

Higher planogram and pricing compliance by tracking product placement, price labels and share of shelf

Higher planogram and pricing compliance by tracking product placement, price labels and share of shelf

Fewer stockouts and phantom inventory issues by creating and closing shelf tasks with photographic evidence

Fewer stockouts and phantom inventory issues by creating and closing shelf tasks with photographic evidence

Real-time store health insights by monitoring execution from individual stores to the complete retail chain

Real-time store health insights by monitoring execution from individual stores to the complete retail chain

Why Indonesian retailers choose Fynd OnShelf

Manage large regional store networks

Monitor shelf execution across stores, cities and islands without depending entirely on periodic visits from central audit teams

See every store in one place

Track stockouts, misplaced products, price-label errors, planogram gaps and unresolved tasks from one dashboard

Prepare for peak shopping periods

Identify shelf gaps before Ramadan, Lebaran, Harbolnas, payday and double-date campaigns create higher store demand

Replace manual reporting with visual proof

Give head-office teams before-and-after photographs for every shelf correction instead of relying only on spreadsheets or chat updates

Support different retail formats

Deploy robots, smartphones or fixed cameras across supermarkets, minimarkets, pharmacies, beauty stores, electronics stores and department stores

Scale across enterprise operations

Manage shelf audits and performance reporting across more than 1,000 stores with enterprise-grade infrastructure

Frequently asked questions

Shelf scanning software captures and analyses store-shelf images to identify missing products, misplaced SKUs, pricing errors and planogram gaps.

Fynd OnShelf works with the Autri Go robot, smartphones or fixed cameras. Retailers can select a setup based on the store format, shelf layout and audit frequency.

Fynd OnShelf models can reach approximately 95% recognition accuracy. Actual accuracy varies by product category, packaging, lighting, shelf conditions and image quality.

Fynd OnShelf clusters product features to simplify initial SKU onboarding. The recognition model improves as it processes more approved product and shelf images.

Fynd OnShelf can compare shelf labels with configured product, price and promotion data, including prices in Indonesian rupiah. Recognition depends on image quality and implementation.

Fynd OnShelf creates shelf-correction tasks with photographic evidence. Store teams submit an after-fix image, and a rescan verifies the correction before closing the task.

The portable Autri Go setup allows retailers to move one unit between multiple stores. Coverage depends on store size, distance and audit frequency.

Fynd OnShelf provides store-level and chain-wide reports. Teams can compare on-shelf availability, pricing accuracy, planogram compliance and open tasks across locations.

The future of

effortless inventory across Indonesia

Replace slow manual shelf audits with AI-powered scanning, real-time issue detection and photo-verified store tasks

Autonomous shelf-scanning robot capturing inventory images