Signal More Retail reports forecast accuracy rising from 24% to 76% with AI
Summary
Capgemini cites the Indian retailer More Retail Limited as an example of feeding AI insights into operations. Working with the analytics firm Ganit, the company adopted Amazon Forecast for demand planning. Forecast accuracy rose from 24 percent to 76 percent. In-stock rates for fresh produce climbed from 80 percent to 90 percent, and fresh waste fell by up to 30 percent. Gross profit increased by 25 percent, showing how better forecasting can improve both availability and margins.
Classification
Main topicIndustry & Supply Chains
Region menusGlobal
Occurrencescope:country · geo_region:south_asia · country:IN
Impactscope:global
Time horizon0-3 years (2026-07-26)
Published2026
Last updated2026-09-30 12:56 KST
Evidence 1
- What matters to today's consumer 2026: How AI is transforming value perception Capgemini Research Institute page=55;section=What should CPR organizations do differently? / Strengthen feedback loops between AI and operations 2026 accessed 2026-07-26
Part of trends 1
Directly linked issues 0
No objects.
Relation types: supports
Public id: fm-4a441b15d341
