“Artificial intelligence was identified by a number of restaurant tech providers as a top trend for 2020 and, so far, those predictions seem pretty spot on.
Taco Bell is making its case for AI, announcing a broader partnership with Certona
Through the technology, machine learning derives the most relevant menu items for app users and also pushes promotions and content based on an individual customer’s behavior.
Last week, Starbucks President and CEO Kevin Johnson told the National Retail Federation Show crowd about the company’s Deep Brew (AI) technology, calling it a “key part” of Starbucks’ future.”
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“Deeper AI Integrations: From automated chatbots to image recognition and personalization, Artificial Intelligence is expected to play a larger role in mcommerce.
AI and ML will see a greater play in Ecommerce
Here are top expected applications of AI in Ecommerce:
• Personalized User Journeys
• Predictive Product Recommendations
• In-store Insights & Customer Engagement
• Dynamic Pricing
• Predictive Behavior Modeling
• Visual Search”
“Traditional banking is being challenged by companies like Google, Amazon, and Facebook, who now offer financial services as well, Basson said.
If the first generation of AI in banking was mostly about efficiency, now it is also about leveraging data into insights that could be used to improve customer experience”
“Future of E-commerce Experience
1. The E-commerce Experience will Transcend The Screen.
2. The E-commerce Experience will be More Personalized.
3. The E-commerce Experience will Include a Lot More Relevant Content.
4. The E-commerce Experience will Shift Toward Better Service and Elevate the Shopping Experience.”
“With the sheer amount of products being sold online, shoppers primarily discover products through category or search-based navigation. However, inconsistencies in product metadata created by vendors or merchandisers lead to poor recall of products and broken search experiences. This is where image recognition and machine learning can deeply analyze enormous data sets and a vast assortment of visual features that exist in a product to automatically extract labels from the product images and improve the accuracy of search results.”