How well known companies use decision intelligence to increase sales, reduce costs and improve productivity.
John Deere: Improved crop yields
The global manufacturer of agricultural and construction equipment, John Deere, has successfully used decision intelligence to improve crop yields by up to 10%, and reduce the amount of seed needed for planting by up to 20%, resulting in significant cost savings.
Amazon: Faster packing, smarter pricing
Amazon, the world’s largest e-commerce company, uses decision intelligence and machine learning algorithms to predict which items are likely to sell in the future and to optimize the placement of items in the warehouse for faster picking and packing.
Amazon also uses decision intelligence to personalize product recommendations for its customers and to optimize its pricing strategy. By analyzing data on customer behavior, purchase history, and other factors, Amazon’s decision intelligence systems can make predictions about which products are likely to be popular and adjust prices accordingly.
Procter & Gamble: reduced bottlenecks
The consumer goods company Procter & Gamble is yet another example of a company that uses decision intelligence to increase efficiency and sales. Just like Amazon, they can predict demand for their products and use that information to optimize their inventory levels. Decision intelligence also supports them in identifying bottlenecks in their manufacturing and logistics operations, for example identifying the most efficient routes for delivering products to retailers.
Complex operations have a lot to gain
All kinds of complex operations where factors like customer insights, pricing strategies and supply chain efficiency are important for business results have a lot to gain by implementing decision intelligence. Here are a few examples from the manufacturing, retail and finance industries.