In-store personalization and weekly ad creation were highly manual. Now, AI smart carts guide shoppers, and staff use agents to draft ads.
A retail cooperative operating over 570 touchpoints and serving more than one million daily customers across supermarkets, food courts, and convenience stores in Singapore.
Rapidly evolving consumer preferences required a highly personalized shopping experience across physical and digital storefronts. Additionally,...
“We want to show the consumer what a great shopping experience is like when we put technology, vision, and belief together.”
Multi-format retailer and food services provider in Singapore.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
FairPrice Group's In-store shopping assistants is part of this use case:
Related implementations across industries and use cases
Personal shoppers spent 32 minutes hunting through 50k items. AI now locates stock in under two minutes.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Personal shoppers spent 32 minutes hunting through 50k items. AI now locates stock in under two minutes.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
In-store personalization and weekly ad creation were highly manual. Now, AI smart carts guide shoppers, and staff use agents to draft ads.
A retail cooperative operating over 570 touchpoints and serving more than one million daily customers across supermarkets, food courts, and convenience stores in Singapore.
Rapidly evolving consumer preferences required a highly personalized shopping experience across physical and digital storefronts. Additionally,...
“We want to show the consumer what a great shopping experience is like when we put technology, vision, and belief together.”
Multi-format retailer and food services provider in Singapore.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
FairPrice Group's In-store shopping assistants is part of this use case:
Related implementations across industries and use cases
Personal shoppers spent 32 minutes hunting through 50k items. AI now locates stock in under two minutes.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
Young staff hesitated to ask managers, slowing stocking. A text-based AI assistant now answers inventory queries on personal phones.
Personal shoppers spent 32 minutes hunting through 50k items. AI now locates stock in under two minutes.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
300+ receipt layouts forced manual entry. GenAI now reads raw images with 98.6% accuracy, cutting costs 90%.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.