Challenge
Sumena’s product range changes every day – different suppliers, different best-before dates, different stock levels. As the company grew, manual customer support, pricing and inventory planning led to delays, inaccurate forecasts and missed sales opportunities.
Solution
- Responsive webshop. A modern e-commerce interface that copes with the fast turnover of short-dated goods.
- Intelligent procurement module. Forecasts future stock needs and estimates procurement costs based on seasonality, trends and supplier behaviour.
- Warehouse management system. Connects procurement, stock and the shop so the team sees the same picture across all channels.
- AI-powered chatbot. Round-the-clock customer support that understands users’ questions and guides them through their purchase.
- Machine learning on browsing and purchase data. Forecasts product popularity and supports pricing decisions, reducing both overstock and stock-outs.
Results
- Traffic doubled after the rebrand and the launch of the new webshop.
- Revenue grew 2× month on month after the relaunch.
- The manual customer support workload fell, as AI answers common questions around the clock.
- Pricing and inventory decisions are now data-driven rather than based on gut feeling.
Key takeawayA small social-impact retailer doesn’t need a Silicon Valley budget for AI-enhanced e-commerce – it needs the right modules in the right places.