Explore tailored, high-impact case studies highlighting how eRetailer solves core industry pain points across diverse operational footprints.
Mid-sized retail chain operating 8 outlets across the UAE and Oman.
High volume of stockouts on high-demand items, severe cash flow tie-up due to dead stock across regional hubs, and slow POS processing during peak shopping hours. The chain was losing market share to major digital giants due to a lack of online visibility and unified inventory control.
| Operational Metric | Before eRetailer | After eRetailer |
|---|---|---|
| Inventory Shrinkage | $140,000 / year | Reduced by 38% in 6 months |
| POS Checkout Lag | 12–18 seconds / bill | < 2 seconds / bill |
| Stockouts (Top 100) | 14% occurrence | Under 1.5% |
| New Revenue | $0 (Monetization) | +$45,000/yr (Shelf space) |
"eRetailer replaced three fragmented legacy systems with a single operating system. We eliminated daily stock discrepancies and opened up a brand new high-margin revenue stream through shelf space monetization."
— Ahmed Salim, Operations Director, Al-Madina Hypermarkets
B2B Distributor managing 12,000+ SKUs across 4 regional fulfillment centers.
Margin compression caused by manual quote generation, high order-processing costs driven by manual data reentry, and friction between field sales reps and warehouse fulfillment teams. B2B clients frequently faced phantom inventory issues.
Repetitive order logging fell from 15 minutes per order to 0 manual steps once approved by the buyer.
Dynamic cost-plus pricing rules automatically adjusted quotes based on shifting logistics and supplier costs.
Same-day order dispatch increased from 24% to 89% across all regional warehouses.
Flagship boutique retail store + 4 major eCommerce marketplaces.
Chronic overselling (phantom inventory) on online channels during flash sales, skyrocketing Customer Acquisition Costs (CAC), and complex, manual processing of product returns (reverse logistics).
Marketplace sync eliminated phantom inventory penalties completely.
Automated CRM retention workflows drove a 42% increase in repeat orders.
In-store return processing time dropped from 10 minutes to 90 seconds per item.