Retail & Consumer
Use data analytics and AI to increase individualisation and efficiency across marketing, sales, pricing and operations in today’s challenging consumer environment.
Retailers and consumer-focused businesses are increasingly exploiting their Data Science potential to optimize processes in all business areas and thus reduce costs, i.e. maximize profits, in an increasingly challenging global economy:
Amazon’s use of machine learning to optimize their supply chain, leading to a 40% drop in delivery times and a 25% increase in sales
Walmart used artificial intelligence to predict customer buying patterns and reduce out-of-stock items by 10% and increase sales by 10%
Zalando increased its active customer base by 11 million customers and grew its gross merchandise value by 24% year-over-year to €14.6 billion
Decrease uncertainty by forecasting sales and inventory levels. Optimize your CRM by better understanding your customer segments, their lifetime value and their sensitivity to price changes. Maximize your profits by implementing a data-driven pricing strategy and reduce operational costs by optimizing your supply chain and your assortment management. Our data professionals have successfully implemented Data Science solutions in all key business areas:
Customer Analytics, e.g. Customer Segmentation, Lifetime Value & Churn Prediction
Sales / Inventory Forecasting
Dynamic Pricing
Supply Chain & Assortment optimization
Customer Experience, e.g. A/B Testing, Recommender Systems
For inspiration, feel free to browse through some of the highlighted case studies below.
