Domino’s captures and analyzes data from multiple channels – text message, social media, Android, Amazon Echo, to mention just a few. After that, data is being input into the Domino’s Information Management Framework.
This data is complemented with open-source third-party data such as the United States Postal Service, geocode information, demographic data, competitor data. This, in turn, helps segment customers into buckets and then tailor a unique offer for each one.
Apart from using AI to get a better understanding of customer needs, Domino’s Pizza is using algorithms to offer clients consistency of pizza quality. Too little cheese, or too thick pizza crust? With AI, this is no longer a concern.
A pilot project was unfolded in Australia and New Zealand with a smart scanner checking pizzas when baked. Based on data previously fed into the system, recommendations on the “perfect” pizza are provided. The scanner grades each pizza going out from the kitchen oven based on pie size, pizza type, amount of toppings, to name a few of the criteria. This process is possible by feeding a picture of a ready-baked pizza into the system and comparing it to a large number of pizzas baked in the past to later generate an assessment before the pizza is sent to a client.
To summarise, AI can be used to create a better shopping experience, optimize price in real time, allow for better product design, forecast sales and inventory more precisely, and even cut down on counterfeit products. These areas are just several applications where AI can be harnessed to improve a bottom line and win over customers. Case studies of Burberry, Stitch Fix, Starbucks, Amazon, and Domino’s Pizza have proved that. How about your business case?
AI implementation should not be approached without a strategy. If you want to implement AI in your e-commerce business, download a free AI Sprint white paper and design your unique AI strategy for your product.