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5 Real-World Use Cases for Generative AI in Retail

Discover how Generative AI is Redefining Customer Experience and Operations.

Generative AI in Retail visual

AI's Role in Modern Retail

From personalised recommendations to automated inventory management, AI is reshaping the retail landscape. This shift towards generative AI in retail is unlocking new ways to engage customers, optimise supply chains, and drive revenue. But which AI applications are making a significant impact, and how can retailers implement them effectively?

AI-Powered Personalisation & Product Recommendations

Retailers who adopt generative AI-driven personalisation can boost average order values and improve retention. E-commerce giants like Amazon and Shopify are setting new standards in personalised shopping. AI-driven recommendations:
· Analyse real-time browsing and purchase history to suggest hyper-relevant products.

· Generate dynamic pricing strategies, optimising margins while improving conversions.

· Create AI-powered personal shopping assistants, enhancing the customer journey.
An AI-powered personal shopping assistant recommending products to a customer in a retail store.

Generative AI for Retail Supply Chain Optimisation

Retailers leveraging generative AI for inventory management are seeing cost savings and greater supply chain resilience. Supply chain disruptions are a major challenge, but AI-driven forecasting can equip the retail sector with the insights to tackle these. AI can address various areas of supply chain management, including:
· Predicting demand with greater accuracy, reducing overstock and stockouts.
· Automating supply chain decision-making, ensuring optimal stock levels across locations.
· Improving logistics and delivery efficiency, using AI to streamline fulfilment.
A digital warehouse dashboard showing generative AI inventory and supply chain optimisation.

AI-Powered Virtual Try-Ons & Customer Experience

These innovations are driving engagement, reducing return rates, enhancing customer satisfaction, and redefining how customers interact with brands. Augmented Reality (AR) combined with generative AI enables customers to:
· Virtually try on clothes, makeup, or accessories before purchasing.
· See AI-generated outfit recommendations based on personal style.

· Interact with AI-powered customer service reps that provide real-time fashion advice.
A shopper using a generative AI interface for virtual clothing try-ons

Looking Ahead: The Future of Retail with GenAI

In 2025 and beyond, the integration of generative AI in retail is expected to accelerate. Here are some trends to watch:

Autonomous Retail Operations

AI will increasingly automate routine tasks, from inventory management to customer service, allowing human workers to focus on more complex and creative aspects of retail.

    01

    Predictive Shopping

    AI systems will anticipate customer needs, automatically restocking household essentials and suggesting new products based on predicted preferences.

      02

      Immersive Shopping Experiences

      GenAI, combined with Augmented Reality (AR) and Virtual Reality (VR), will create more engaging and interactive shopping experiences, blurring the lines between physical and digital retail.

        03

        Adopting AI technologies in retail is not just about staying current; it's about being future ready. At ADSP, we help retailers harness AI’s potential—from customer personalisation to supply chain optimisation.

        Jonny Davis, Head of Data Science at Applied Data Science Partners