Consumer Durables & Electronics Retail Merchandising Cloud Software for Vietnam's Chain Stores

The checklist a promoter sees depends on the store in front of them. A flagship showroom in Ho Chi Minh City carries a different bay layout and SKU count from a mall branch in Hanoi or a smaller-format outlet in Da Nang, so the app matches the format automatically, pulling in facings per SKU, bay occupancy, demo-unit visibility, and pricing or spec-sheet signage as relevant. Every photo a promoter takes is GPS-stamped, and the resulting score climbs from branch, to city, to region.

A demo unit generates its own task on the checklist, covering power-on status, the correct input source or demo mode, a model match against the plan, and any visible damage, whether that is a scratched screen, a cracked panel, or an accessory gone missing. Photos come in at three points: install, mid-cycle, and dismantle. AI then cross-checks the unit on the bay against the model it should be, flagging anything switched off, frozen on a lock screen, relocated away from the bay, or swapped out for a competitor's set.

It is trained against the brand's own SKU library and the conditions a chain showroom actually produces: glare and reflections under bright lighting, units packed tightly onto a shared bay, and photos shot from an aisle-width angle rather than a studio set-up. Anything the model is not confident about goes to a human reviewer instead of getting guessed at, and when a new phone, TV, or appliance launches, retraining folds it in without taking the system offline.

One page per store, holding the demo power-on rate, layout compliance, spec-sheet and pricing-signage accuracy, the facings count, and share-of-shelf against whichever rival brand is on the same bay. Because every figure traces back to a timestamped photo, a dispute with a large chain account gets settled by looking at the evidence rather than by argument.

Tết drives real appliance-replacement and gifting demand, so campaigns go out ahead of the holiday with store lists, festive display kits, install windows, and dismantle dates already attached. Each promoter sees their own store-level plan, status updates arrive as the rollout progresses, and an exception report catches a bay where the festive display either never appeared or came down too soon. Trade marketing can check spend against delivered visibility while the campaign is still running, not after it ends.

A promoter logs the gap at SKU and store level during the visit itself, and the platform sorts the likely cause into a supply gap from the distributor, replenishment lagging behind a demand spike, or a model being held back ahead of a refresh. Because the dashboard breaks it down by region and category daily, a key-account manager can escalate the same day instead of finding out at the next visit.

One photo of a shared TV or appliance bay is enough. AI picks out own and rival SKUs in it and counts automatically, then works out share-of-shelf as facings per brand against the category total on that bay. Because trends break down by store, region, and category, a brand team can spot a competitor gaining bay space weeks ahead of what a sell-through report would eventually show.

Unlike FMCG merchandising, where shelf pull tells most of the story, a durables sale often depends on the promoter physically being at the bay to demonstrate the unit. Check-in and check-out both carry a timestamp and a GPS stamp, measured against the store's footfall hours, so a missed or shortened shift lands on the same dashboard as any other display exception. That gives a brand team visibility into coverage gaps by store and region well before a lost sale would reveal it.

Yes, since retail execution shares the same cloud backend as the 1Channel SFA and DMS. Every display audit attaches to the promoter's visit and to the account's order history, so a brand team can trace the line from visit, to audit, to secondary sale in a single view, regardless of whether the account settled by VietQR transfer, e-wallet, or cash on delivery. For anything outside the standard view, 1Voice AI answers in plain language.

Rollout status, the festive-display deployment rate, audit pass rate, and how quickly corrective actions close, that is the view trade marketing gets. Key-account managers work from store-by-store scorecards instead. Leadership sits above both, with a national execution score spanning the North, the Centre, and the South, competitor share-of-shelf, and a live demo-unit tracker, and can still ask 1Voice AI a one-off question whenever something outside those views comes up.