E Commerce In Age Of AI Training Ppt

Slide 1

This slide lists the advantages Artificial Intelligence brings to the table in terms of changing the face of the eCommerce industry. One of the biggest use cases is targeted marketing and advertising via providing personalized product recommendations, pricing optimization, and customer segmentation.

Instructor’s Notes: 

• Targeted Marketing & Advertising: Advancements in AI and Machine Learning have facilitated deep customization approaches, allowing the message/communication to be customized for each user. You can hone in on what your consumers want and deliver the message that will resonate the most by evaluating massive data from purchase histories and other customer interactions
• Personalized Product Recommendations: Collecting and processing customer data regarding their online purchasing experience is now easier than ever. AI is being used to provide customized product suggestions based on prior consumer behavior and customer lookalikes
• Pricing Optimization: Dynamic pricing using AI is a method for altering the price of your product based on supply and demand. Today's solutions can forecast when and what to discount with the correct data, dynamically determining the floor discount required for sale
• Customer Segmentation: More consumer data and processing capacity are allowing e-commerce businesses to understand their customers better and spot new trends earlier than ever before

Slide 2

This slide highlights the advantage of increased customer retention and enhanced customer service that the adoption of Artificial Intelligence within eCommerce offers.

Instructor’s Notes: 

According to McKinsey's omnichannel personalization research, personalization techniques can increase revenue and retention by between 10% and 15%.

Slide 3

This slide highlights the advantage of seamless automation and smart logistics that the adoption of Artificial Intelligence within eCommerce offers.

Slide 4

This slide highlights the advantage of efficiency in sales process and sales & demand forecasting that the adoption of Artificial Intelligence within eCommerce offers.

Slide 5

This slide depicts a step by step process of successful implementation of Artificial Intelligence in eCommerce.

Instructor’s Notes: 

• Create a Strategy: You'll need to devise a strategy that lays out the steps to achieving your AI goal. Consider taking a practical approach and remembering what you want to accomplish with AI
• Finding relevant Use Cases: Business goals, data segmentation, and widely available Artificial Intelligence models all come together in the most effective AI use cases. You should concentrate on revenue-generating possibilities where you have a data edge and where established AI technology may be used
• Leverage third-party expertise: Bring in an experienced team to help you create a strategic AI roadmap on a project. These third parties can also aid in the development of your MVP (Minimum Viable Product)
• Build a full-scale solution: Once you're confident with what your team has created, it's time to build the full-scale solution. It may still take a few revisions to get it to work the way you want it to. You'll see an increased advantage from the initiatives you execute as you and your team become more comfortable working in the AI realm