Consumer Durables & Electronics Retail Merchandising Cloud Software for Egyptian Business

Each outlet class carries its own checklist. A trader's stall inside a souq such as Souq El-Ataba, a phone counter inside a Cairo shopping mall, and a branded showroom in a New Cairo retail strip do not run the same list. The app serves the matching checklist for each: facings per SKU, hot-zone occupancy, demo-unit visibility, and POSM presence. Promoters capture a GPS-stamped photo at every stop, and scores roll up by market, governorate, and outlet class.

Every demo unit is logged as its own task, covering location, model, the power-on check, and security-cable presence on high-value phones and tablets. Promoters photograph the unit at install, mid-cycle, and dismantle. AI then confirms the model on display matches the plan, and flags any unit that is switched off, moved out of position, or replaced with a competitor's set.

The recognition model is trained on the brand's SKU library alongside the crowded, mixed-brand counters typical of souqs such as Souq El-Ataba and busy Cairo shopping streets. It copes with glare on TV and fridge fascias, partial occlusion by boxes and packaging, and the steep camera angles common inside a tight stall. Any low-confidence photo routes to human review, and retraining absorbs new phone and appliance launches without downtime.

Key-account managers get a one-page scorecard per dealer or showroom, covering the demo power-on rate, layout compliance, accessory-wall planogram score, facings count, and share-of-shelf against rival brands. Every figure is photo-backed and timestamped, so a disagreement with a major Cairo or Alexandria dealer is settled on the recorded evidence rather than argument.

Ramadan, Eid, and back-to-school pushes ship with an outlet list, POSM kits, install windows, and dismantle dates already attached. The app shows each promoter the plan for their outlet, status updates arrive in real time, and exception reports flag any stall where the branding never went up or was pulled down early. Spend is checked against delivered visibility while the campaign is still running, not after it closes.

Promoters log out-of-stock at SKU and outlet level during the visit. The platform then classifies the likely cause: a dealer sitting on cash instead of restocking, a supply gap from the distributor, slow replenishment, or a price freeze on imported stock while EGP volatility settles. Daily dashboards by market and category let key-account managers escalate the same day rather than at month-end.

AI detects both your own and rival SKUs in the same photo, so a wall carrying Hisense, TCL, LG, or Samsung stock alongside yours is counted automatically. Share-of-shelf is calculated as facings per brand against the category total. Trends ship by market, city, and category, so brand teams can see a competitor gaining ground in a souq or a modern-trade chain weeks before a sell-through report would show it.

The promoter app is offline-first, which matters given how patchy signal can be inside a dense souq block or on a route through Upper Egypt and the Delta. Photos, audit checklists, and out-of-stock logs save to the device and sync to the cloud the moment signal returns. A low-battery mode keeps the app usable through a long shift on a single charge.

Yes. Retail execution runs on the same cloud backend as the 1Channel SFA and DMS, so every audit attaches to the promoter's visit and to the dealer's order history. Brand teams trace the path from visit to audit to secondary sale in one view, whichever way the dealer settled the invoice: cash, bank transfer, or through InstaPay, Fawry, or Meeza. 1Voice AI answers ad hoc questions in plain language.

Trade marketing sees rollout status, POSM deployment rate, audit pass rate, and corrective-action closure. Key-account managers see dealer and showroom scorecards. Leadership sees a national execution score across Cairo, Alexandria, Giza, and the wider governorates, alongside competitor share-of-shelf and a live demo-unit tracker. 1Voice AI fields one-off queries on demand.