Real-world implementations showcasing the power of AI across different industries and use cases.
Novatelia integrated a recommendation system for a fashion e-commerce site. By learning each user’s style preferences and feedback (likes/returns), the AI started suggesting outfits and accessories. The retailer saw a notable lift in cross-sell: customers who engaged with the “Complete the Look” recommendations had a 25% higher average order value than those who didn’t.
For a telecom client with e-commerce device sales, we deployed an AI chatbot to handle customer inquiries and upsell relevant add-ons. The bot could instantly answer FAQs about phone specs, guide users through plan selections, and suggest accessories. Operating in English and Arabic, it provided 24/7 support, improved customer satisfaction, and reduced support costs, demonstrating how AI can elevate customer engagement in e-commerce.
A medium-sized electronics online store used our AI forecasting model to manage its inventory. The model predicted a spike in demand for webcams and auto-triggered a re-order from suppliers ahead of a holiday surge, preventing stockouts. Conversely, it identified slow-moving inventory and suggested promotional discounts to clear those items. These optimizations led to a 20% reduction in inventory holding costs and improved turnover.
We provided a tool that scans customer reviews and feedback using NLP to gauge sentiment about products and customer pain points. An e-commerce client used this to quickly identify a quality issue (multiple reviews complaining about a sizing problem for a shoe). They addressed it with the supplier within days, preventing returns and demonstrating responsiveness. The AI also summarizes general sentiment trends, which the marketing team uses to adjust product descriptions or images if needed (e.g., emphasizing a feature customers love, or clarifying something causing confusion).
Online retailers (from niche boutique stores to large e-commerce marketplaces)
Brick-and-mortar retailers expanding to omni-channel (needing AI for their digital storefronts)
Consumer goods brands selling direct-to-consumer online
E-commerce platform providers and developers
Marketing teams seeking personalization tech
Inventory and supply chain managers in retail companies.