Take the customer preference data you've acquired from real time remote monitoring that's driving your sales and sell it to the manufacturers of those products because they want to know what customers want to buy.
When retail machines talk to each other directly or collaborate through edge gateways, customers are more likely to find what they're looking for.
In the same way Uber matches the drivers of cars with people who need a ride, smart connected products can be matched with people looking for those products.
By capturing real time inventory data from vending machines, smart shelves and other instrumented sources of retail data, you learn customer preferences which let you quickly manipulate product mix to increase sales.
The Internet of Inventory is all about remote monitoring use cases where sensors send telemetry over wireless networks to tell us current inventory so we can make intelligent decisions about what to stock.
In this episode I use the example of "meter reading" to describe the evolution of remote monitoring.