AI models are good at forecasting claims for Insurance companies. This helps companies to allocate and evaluate patterns in which the events occur. Provide education to consumers to avoid it.

Creating a podcast on Amazon alexa flash briefing will attract more audience. As it's listened to on a daily basis. Marketing should produce high value content for customer to attract and run some ads

Product recommenders help in recognizing consumer preference and demand. They provide insight & probability on products that haven't been purchased by the consumer. Sending a personalized product.

Voice technology is gaining traction fast. Amazon opened up interaction of voice in any device that has speaker and reciever. Every device in your home will talk to you to make comfort.

As the voice platform expand recommender systems are going to be deployed by every stores and business to personalize recommendation its the future of communication and sales.

As retail stores gear up for holiday season. Identifying customer preference is key to win customers in a highly competitive environment. AI enhances manufacturing operations, reducing defects.

By analyzing every variable influencing sales and customer preference, the probability of sale can be enhanced. A 10% increase in sale week over week when compounded yield big numbers. New preference.

AI has lot of application in the manufacturing sector. Enhancing the line of production by reducing uncertainity in demand. With IoT the potential of AI is be unlimited. It gives a massive boost.

Manufacturing and supplychain operation can be enhanced by the use of internet of things and AI. IoT gives real time info on change of inventories and AI can predict patterns and requirement.

Adding artificial Intelligence to sourcing, Procurement, Supplychain, Warehouse Management, sales, Product recommenders will optimize the retail operation to the next level. Lower price points.