“Artificial Intelligence is taking over retail and has been used across the entire product and service cycle.
- Flipkart which was acquired by US retail giant Walmart this year is using machine learning (ML) to arrive at a structured address classification system for order deliveries,
- The ML solution classifies and resolves inconsistencies with a 98% accuracy rate.
AI-powered visual aided picking (within warehouses/ distribution centers)
- As report indicated, Physical forms of AI are now extending beyond chatbots to robots in the warehouse. The AI robots markets is expected to grow at 28.8% CAGR between 2017 and 2023.
- German-based ecommerce player Otto: The AI system predicts customer purchases at 90% accuracy, thereby reducing product returns by over two million items a year.
AI for stock replenishments
- AI-driven insights from varied data sets offer significant scope to automate stock replenishments.
- This allows the company to predict demand down to the individual store level and then automates the product orders. As a result, shelf gap was found to be reduced by 30% during trial sessions.36
AI for assortment rationalization
- Global fashion retailer H&M faced a significant challenge: $4 billion worth of unsold stock
- The number of SKUs reduced by 40% as a result”