Artificial Intelligence for businesses: concrete use cases

Artificial intelligence is no longer reserved for tech giants. Thanks to pre-trained models, cloud APIs and open-source frameworks, even SMBs can integrate AI into their business processes. The challenge isn't building a revolutionary model, but identifying high-value use cases in your specific context. At Overlyne, we take a pragmatic approach: every AI project starts with an audit of your data and processes to identify quick wins.

For a Tunisian auto parts distributor, we developed a demand forecasting model that analyzes sales history, seasonality, market trends and external events. Result: stockouts dropped by 40%, overstock was reduced by 25%, and revenue grew by 12% thanks to better product availability. The model continuously improves through online learning.

Manual processing of invoices, purchase orders and administrative documents consumes considerable time. Our intelligent OCR solution coupled with NLP (Natural Language Processing) automatically extracts key information, validates it against ERP data, and creates corresponding accounting entries. For an accounting firm, we reduced data entry time by 60% and eliminated 95% of transcription errors.

Our route optimization algorithm integrates multiple constraints: delivery windows, vehicle capacity, real-time traffic conditions, partner priorities. For a delivery company operating in Greater Tunis, the result was immediate: 22% reduction in kilometers traveled, 35% increase in deliveries per route, and 18% decrease in fuel consumption.

AI-powered chatbots are transforming customer service and internal support. Our enterprise chatbot solution integrates with your knowledge base, procedures and ERP to accurately answer partner and employee questions. One of our partners in the transport sector saw 68% of support requests handled automatically, freeing human agents for complex cases.