Retail

Provides a natural language interface for store managers to aid in the process of scheduling store associates, tracking skills, performance and personalised training programs.

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Uses a mobile or computer device’s motion tracking, camera scene capture, and advanced scene processing to superimpose 3D models on the user’s body. It allows customers to digitally try on products like clothing, makeup, jewelry and accessories, and enables data capture for the retailer’s internal use cases.

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Uses image and video content creation for improved digital and physical marketing and merchandising activities such as product development, display, messaging, signage and RMNs, management of product information.

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Generative AI shopping assistants and support agents that understand natural language, answer product questions, and complete tasks like reorders, returns and bookings across chat, voice, WhatsApp and social — resolving more queries without human handoff.

Leveraging content creation, simulation and design alternatives, allowing customers to share personal preferences through co-creation of products, services and experiences in physical and digital realms including the Metaverse.

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AI-driven personalisation and demand forecasting: models learn from browsing and purchase behaviour to tailor offers, recommendations and pricing in real time, and to forecast demand so the right stock is in the right place.