Ganit has started as a pilot venture in April under which the system has been effectively conveyed across 119 'MORE' retail locations across Bangalore and Pune. As the second phase of improvement, the module is presently being executed across 2000+ stores in India.
“This solution reduced the daily wastage of the fresh fruit and vegetable division by 20 percent and an average of ₹70 lakh was saved on a month on month basis across 119 MORE stores in Bangalore and Pune where it was tested,” stated Shivaprasad KT, CEO, Ganit Inc.
Driven by solid macroeconomic components, India, at present, is the fourth-biggest retail market on the planet.
Further, the business is probably going to develop from $790 billion in FY2019 to $1.4 trillion before the finish of 2024, as indicated by an ongoing report arranged by Boston Consulting Group in a joint effort with Retailers Association of India.
Retail knowledge stages will lead the innovation pack to give the information experiences required by these endeavors to coordinate customer request, increment outlet inclusion, and persuade field groups to guarantee both fulfilled retailers and shoppers, state industry watchers.
Ganit and Amazon Web Services (AWS) collaborated to develop an advanced forecasting framework aimed at enhancing inventory management in the retail sector. Initially piloted across 119 'MORE' retail stores in Bangalore and Pune, the system achieved a 20% reduction in daily wastage of fresh produce, resulting in monthly savings of approximately ₹70 lakh. Following this success, the framework is being expanded to over 2,000 stores across India. This initiative underscores the potential of AI-driven solutions in optimizing supply chains, reducing waste, and improving profitability in the retail industry.
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