Global Retail Artificial Intelligence (AI) Growth Opportunities 2021 Research Report –



DUBLIN – (COMMERCIAL THREAD) – “Global Artificial Intelligence (AI) Retail Growth Opportunities” report has been added to offer.

AI solutions to drive the potential for future growth in the retail space for technology providers

With a record 12,200 outlets closed in the United States in 2020 alone, retailers around the world have turned to omnichannel strategies as part of the new normal. Even with reopening efforts well underway around the world, retailers are likely to persist in their omnichannel efforts due to the pandemic accelerating changes in customer behavior and the deployment of AI-powered retail technology solutions. .

Developments in computer vision, natural language processing, and personalization engines are enabling quantum leaps in customer experience and retail operations. From increased personalization to frictionless customer service, AI solutions for retail offer many benefits for retailers. The ravages of the pandemic, technological adoptions and changing consumer tastes are paving the way for the widespread adoption of retail AI technologies.

With deep technological capabilities, large tech companies are launching forays into the retail space, acting as both partners and competitors of established retailers. This study will help retailers understand the evolving retail AI market trends as they consider investing in cognitive capabilities.

It will also provide guidance to technology providers on how to define their strategic priorities, such as partnerships, acquisitions and building new capabilities to capitalize on growth opportunities in the retail AI space. .

Main topics covered:

1. Strategic imperatives

  • Why is it more and more difficult to cultivate?

  • The strategic imperative

  • The impact of the three main strategic imperatives on the retail AI market

  • Growth opportunities fuel the growth pipeline engine

2. Analysis of growth opportunities

  • Retail AI – Top Use Case Categories

  • Retail AI – Key areas of application

  • Retail AI – Top Use Case Categories Explained

  • Retail AI use cases by adoption levels

  • Key technological developments

  • A. Personalized offers migrate from online sales to physical points of contact

  • B. AI-based dynamic pricing systems are sought to restore price competitiveness in physical retail

  • C. Computer vision solutions are increasingly deployed for front-end physical retail functions

  • D. AI-based visual search tools are used to remove friction in the online search experience

  • E. Ecommerce Retailers Seek To Introduce Predictive Retail Services To Improve Customer Experience

  • Key AI acquisitions and activities for retail since 2020

  • Investor Watch – Top 10 financings since 2020

  • Summary – AI-driven transformation of vertical retail will create new growth opportunities for ICT providers

  • The Way Forward – Checklist for Effective AI Adoption

  • Growth drivers in the retail AI market

  • Growth Constraints in the Retail AI Market

3. Universe of growth opportunities

  • Growth Opportunity 1: Chatbots and Virtual Assistants for Effective Customer Interaction Across Multiple Communication Channels

  • Growth Opportunity 2: Augmented Reality Solutions to Improve Online Customer Experience

  • Growth Opportunity 3: Retail Focused Visual Search Capabilities to Improve Ecommerce Search Experience

  • List of exhibitions

  • Legal disclaimer

4. Annex – Growth pipeline engine

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