Sandeep Nargotra
Sandeep Nargotra is a seasoned retail technology and product leader with more than 20 years of experience across merchandise planning, supply chain planning, and enterprise software. He is Vice President of Products at Impact Analytics, where he leads product initiatives that help retailers make smarter, data-driven decisions across merchandise planning and the retail supply chain.
Throughout his career, Sandeep has held leadership and technical roles across leading technology organizations, including Birlasoft, JDA Software, Manhattan Associates, and o9 Solutions. At Jda, he spent more than a decade developing and implementing merchandise planning, forecasting, and allocation solutions, progressing from product R&D to Senior Solution Architect. At Manhattan Associates, he contributed to strategic planning, prototyping, and product design. At o9 Solutions, he led solution delivery and strategic initiatives for the retail portfolio.
His expertise spans demand forecasting, inventory planning, allocation, assortment planning, and specialized planning capabilities such as store clustering, size/pack optimization, and inventory optimization. His experience across product development, solution architecture, delivery, and presales gives him a distinctive perspective on translating complex retail challenges into scalable, practical technology solutions.
Sandeep is passionate about bridging retail business needs and technology innovation to empower planners and merchants, improve decision-making, and deliver measurable business impact.
Sandeep Nargotra
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Trusted by Leading Companies
In our clients’ own words
“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
“We landed on Impact Analytics for 3 core reasons: culture, technology, and an intuitive interface that was easy to adopt.”
“Our planners immediately recognized that Impact Analytics understood the realities of retail planning at scale. The opportunity to move from spreadsheet-driven, line-by-line planning to an exceptions-management model is a significant step forward.”
