Cognitive Revolution – Generative Artificial Intelligence (AI) Meets Retail
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Generative Artificial Intelligence (AI) in Retail Report Overview
Generative AI models can help optimize sourcing and manufacturing, enhance distribution efficiency, personalize the point-of-sale experience, and customize consumer interactions for heightened satisfaction and loyalty. It can optimize sourcing by predicting the best materials for product manufacturing and improving packaging designs, leading to cost reductions and enhanced sustainability. GenAI can also transform distribution, aiding in accurate demand forecasting, route optimization, and efficient inventory management, thus reducing overall logistics costs.
The Generative Artificial Intelligence (AI) in Retail research report delves into the vast realm of opportunities that generative AI brings to retail, spanning from enhancing customer interaction, and efficient inventory management, to personalized marketing techniques. While hurdles like data privacy and content quality exist, they are failing to hinder the breakneck pace of this technological advancement in the retail world.
Key Use Cases | · Optimizing Personalized Journeys
· Fortifying Margins · Mitigating Overcapacity · Fostering A Transformative Shift From Products To Immersive Experiences |
Leading Players | · Adobe
· Amazon · Booth AI · CALA · Carrefour · Claid AI · CommerceIQ · Crate & Barrel · Delivery Hero · Designovel |
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Generative AI Use Cases in Retail
Generative AI has the potential to address the challenges faced by the retail sector such as optimizing personalized journeys, fortifying margins, mitigating overcapacity, and fostering a transformative shift from products to immersive experiences.
Optimizing Personalized Journeys: This includes cognitive customer care, personalized marketing, recommender systems, AR shopping, customer segmentation, headless commerce, and semantic search.
Product-to-Experience Shift: This includes image generation, AR shopping, virtual photoshoots, virtual try-ons, product development, virtual fashion design, immersive platforms, 3D product catalogs, virtual showrooms, and visual merchandising.
Retail Sector’s Strategic Challenges
For more insights on Generative AI in retail, download a free report sample
Generative AI in Retail - Competitive Landscape
The leading players applying Gen AI in the retail market are Adobe, Amazon, Booth AI, CALA, Carrefour, Claid AI, CommerceIQ, Crate & Barrel, Delivery Hero, and Designovel, among others.
Retail Market Analysis, by Players
To know more about the players in the retail market, download a free report sample
Scope
This report provides-
- Innovation Insights: innovation examples by generative AI use cases in the retail sector to present key trends.
Key Highlights
Innovations: presents real-world innovation examples related to the generative AI use cases in the retail sector. It casts light on how retail sector players are utilizing generative AI technology across key sector-specific application areas.
Reasons to Buy
- No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has suddenly become the key catalyst to drive the next wave of innovation across sectors.
- The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
- Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
- The innovation landscape report on retail innovations in generative AI, published by GlobalData as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology by some of the key enterprises in the retail sector.
Amazon
Booth AI
CALA
Carrefour
Claid AI
CommerceIQ
Crate & Barrel
Delivery Hero
Designovel
eBay
Elizabeth Arden
Fashable
Geenee AR
GetGenius
GoDaddy
Grid Dynamics
Haut.AI
Hexa
HomeDepot
IKEA
Inspectorio
Instacart
Kering
Klarna
Kroger
Let's Enhance
Levi’s
Macy's
Mercari
Myntra
Nvidia
Omnicom
Omnis
Persado
Photoroom
Project44
Salesforce
Sandton City
Shopify
Snap
Square
Stackline
Talabat
Tapestry
Typeface
Upliance.AI
Verneek
Visulon
Walmart
Zalando
Zeta Global
Table of Contents
Frequently asked questions
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How can Generative AI help in developing the retail market?
Generative AI models can help optimize sourcing and manufacturing, enhance distribution efficiency, personalize the point-of-sale experience, and customize consumer interactions for heightened satisfaction and loyalty.
-
What are the leading Generative AI use cases applied in the retail market?
Generative AI has the potential to address the challenges faced by the retail sector such as optimizing personalized journeys, fortifying margins, mitigating overcapacity, and fostering a transformative shift from products to immersive experiences.
-
Who are the key players applying Gen AI in the retail market?
The leading players applying Gen AI in the retail market are Adobe, Amazon, Booth AI, CALA, Carrefour, Claid AI, CommerceIQ, Crate & Barrel, Delivery Hero, and Designovel, among others.
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