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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Utilises AI and virtual assistant interfaces to interact with customers, which may include facilitating a transaction or summarising retrieved information. A key aspect is the enablement of the human to converse in their platform of choice — whether that is messaging platform, SMS, advanced VPAs, social or voice.

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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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Behavior models are a view of a customer’s browsing and purchase activities. Deploys content discovery and knowledge management to provide commentary and justification for predictions about customers from internal and external data sources for marketing, merchandising, digital, supply chain and customer service.

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