Retail & E-commerce Agentic AI Use Cases
Challenge
The retailers and e-commerce platforms are operating in the ultra competitive real time environment where the customer experience, inventory optimization and personalization play a critical role. But, scanty information about customers, ineffective order taking, and stagnant marketing policies hinder development.
Research indicates that more than 60% of online consumers leave carts because of delays, inappropriate recommendations or absence of a live chat.
How Agentic AI Helps
The digital commerce revolutionised by agentic AI provides highly personalized, efficient, and autonomous customer experiences throughout the value chain. AI agents propose tailored goods per the browsing history, the purchase history, the location, and the ongoing promotions-leading to the growth of the conversion rates by 20-30%. Agents create marketing campaigns automatically, optimize them, and deliver them to a particular micro-segments of the target audience, initiate contextual marketing emails, ads, or other offers.
Order processing agents involve validation, inventory checks, delivery assignment, status communications independently in the process of the backend operations. Customer care representatives address questions and handle refunds and are responsive to issues in real-time with compassionate and friendly replies. The Smart merchandising agents change the product layouts and pricing policies depending on traffic, trends and local tastes.
McKinsey states that retail automation based on AI enables companies to achieve a 25-20 percentage faster fulfillment rate and 20-point higher customer satisfaction rate.