ETP Unify features AI-based Product Recommendations, enhancing the customer experience during checkout. Utilising a Matrix Factorization Algorithm, these suggestions are founded on various interactions considering both product attributes and customer demographics. Upon selecting a customer, the model provides personalised product recommendations based on the customer’s purchase history and refines its suggestion as more items are added to the cart. These recommendations are visually presented on a dual screen for the customer to select and the cashier to add them seamlessly to the billing screen, streamlining the checkout process and facilitating upselling opportunities.
ETP Unify’s AI-driven Order Management enhances e-commerce efficiency and security, swiftly identifying and isolating potentially fraudulent orders. The proprietary Machine Learning algorithm predicts anomalies, considering various order attributes, assigning a confidence score for informed decisions. This real-time detection optimises inventory for genuine orders, reducing risks and maintaining operational efficiency. The AI model continually learns from new orders, ensuring accurate predictions and efficient order processing.
Ongoing research and development in AI technologies will uncover additional opportunities for innovation, transforming the landscape of ETP’s Unified Commerce Retail Software.