Humans are multimodal. Sight, hearing, smell, taste and touch help us perceive different types of information to explore the world and make context-rich decisions. Today, the same experience has become possible with multimodal commerce which is transforming the retail industry, opening new horizons for customers and brands alike. Multimodal commerce has multimodal AI at its core, which refers to an AI system that is able to process and integrate information from multiple types of input data, such as text, voice, image, video and AR. This ability enables companies to create and deliver personalized, connected journeys wherever customers engage with their brand, building stronger customer loyalty and driving repeat purchases and cross-selling.
This white paper explores the definition of multimodal commerce and multimodal AI, as well as adoption statistics, capabilities and real-world use cases that reveal the hands-on experiences of early adopters.
Who is it for
Retail and e-commerce executives, product and innovation teams, technology leaders and AI practitioners.
What this white paper covers
- Signals from the market and current multimodal commerce adoption.
- Multimodal commerce. Definition, key components of multimodal AI, benefits, real-world use cases. A comparative overview of core operational aspects: multimodal AI systems vs. unimodal AI systems.
- Real-world use cases and business outcomes that demonstrate how leading brands are already leveraging multimodal AI to transform customer experience and operations.
