Amazon Go will be using IoT for its ‘just walk out’ technology, to automatically detect when products are taken from or returned to the shelves, and track them in a virtual cart based system, using IoT sensors embedded into their shelves.
This opens up the opportunity for Amazon to analyze with laser precision the shopping habits right from the shelf edge. From the order consumers put items into their shopping bags, the exact time (to the millisecond) items were picked off the shelf, Amazon will know more about the buyer's journey. That also includes which of their products have the largest affinity, how long consumers spent in the store, and the step-by-step journey they took to complete their shopping.
Retailers have been analyzing market-basket purchases for many years now whilst continually trying to understand product shelf availability. But by taking advantage of IoT capability such as sensors, digital cameras and mobile technology, the industry is ready to uncover a much deeper level of insight.
From a Qlik perspective this is very exciting for three reasons:
In 1950, Sainsbury’s - a UK grocer where I previously worked for 19 years - was one of the first retailers to introduce the latest shopping experience paradigm shift. It offered 'queue-less shopping’ - a self-service concept that allowed consumers to shop the store by pushing a metal trolley around the aisles. Just imagine what the inventor of this ingenious innovation would think of Amazon Go!
Anyway, that’s enough from me, why not check out Qlik’s point of view on IoT with our latest article our devices are talking but are we listening?