APPLIED AI

Retail

Predict trends, improve warehousing and logistics, set prices and personalize promotions.

Products and services at the right price, with the right message, to the right targets

OptimalAI helps eliminate manual activities across retail including promotions, assortments and the supply chain. We can help predict trends, optimize warehousing and logistics, set prices, and personalize promotions. Retail organizations can predict customer orders by shipping goods without waiting for a purchase confirmation.

Demand and Forecasting

OptimalAI can help retailers know more about what shoppers want before the shoppers themselves. Using data from disparate sources - previous transactions, weather forecasts, social media trends, shopping patterns, online viewing history, facial expression analysis, seasonal shopping patterns - OptimalAI can help accurately forecast the market environment and anticipate consumer expectations while optimizing and automating supplier negotiations. Automating orders based on forecasts maximizes turnover, minimize waste and can improve EBIT by 1 to 2 percent. Using deep learning to predict demand, while automating supply negotiation can reduce stocks by 20%.

Operations

Warehousing and store operations present a rich set of optimisation opportunities for AI applications. Autonomous robots working alongside people increase productivity and reduce injuries. In retail warehouses, stocking time can be reduced by 30 percent. In retail stores, machine learning can help optimise merchandising, with opportunities to improve assortment efficiency by 50 percent. Retailers can increase sales by 4 to 6 percent using geo-spatial modelling to determine micro market attractiveness and leveraging statistical modelling to predict and minimise running out of stock.

Personalized Shopping

OptimalAI can help optimise personalised online shopping in real time. Insights-based selling, including personalised promotions, optimised assortment and tailored displays, can increase sales by 1 to 5 percent. Combined with dynamic pricing, online sales can increase by 30 percent. In store, virtual assistants can be used to identify repeat customers using facial recognition, analysing their shopping history to make suggestions and communicating in a conversational way using natural-language processing and generation.

Getting It Home

Deep learning and computer vision technologies can help store owners compete with online retailers by eliminating checkouts. In store shoppers take goods off shelves and leave without seeing a cashier or stopping at a self-checkout kiosk. Computer vision identifies them as they enter the store, then links them with products taken from shelves. When shoppers leave, the system deducts the cost of the items in their bag from their registered accounts and sends an email receipt. OptimalAI can also help scale the delivery of goods to shopper's homes minutes after purchase using deep learning and computer vision to enable delivery by drones and autonomous robots.

Procurement

Procuring thousands of parts from tens of thousands of global suppliers can be a complex challenge for the manufacturing industry. OptimalAI helps manufacturers digitally link to their suppliers’ systems to enable live transparency of supplier availability, performance and downtime. This helps balance the supply chain and real time optimize inventories. Key differentiators between suppliers are easily identified to and support effective procurement levers and reduce administrative costs. Discrepancies between what is paid to suppliers and what it owed them are easily identified

Digital Twins

OptimalAI's digital twins span entire ecosystems to promote effective risk management, resilience and protection against supply chain disruption. We integrate traditionally siloed, cross-domain data into an end-to-end seamless environment enabling live situational awareness and optimal decision-tree predictions.

Optimial Supply Chains

Combining data-driven insights with AI-powered operational network models of the supply chain reduces cost, optimizes capital expenditure and minimizes operational expenses. This can be further enhanced by seamlessly linking IoT connected infrastructure to create real time intelligent supply chains that monitor and predict optimal decision-making.