Gartner Lists Manthan for Algorithmic Merchandise Optimization in the Hype Cycle for Retail Technologies, 2018
Manthan, a leader in AI-powered analytics solutions, today announced their mention as a Sample Vendor in Gartner’s Hype Cycle for Retail Technologies, 2018 under Algorithmic Merchandise Optimization.
In a fast-paced digital retail environment, retailers can no longer rely on traditional analytics methods and gut feel to make merchandising decisions. The sheer volume of enterprise and third-party data (weather, social data), changing customer preferences, seamless movement of shoppers across channels has increased the complexity of merchandising manifold and necessitates a different approach.
Manthan’s analytics solutions use AI and machine learning to simplify merchandising by enabling the system to auto-generate insights, automatically identify anomalies, recommend the best action and execute it.
“With granular SKU level insights and machine-driven recommendations on the optimal merchandise mix, optimal pricing for products, right promotions, merchandisers will easily be able to capitalize on opportunities and drive better customer experience in a complex, fluid digital retail environment,” said Sameer Narula, Chief Product Officer, Manthan.
Manthan will be showcasing its AI and prescriptive analytics solutions at booth #4719 of the National Retail Federation (NRF) Conference & Expo, January 13-15, 2019 at the Jacob K. Javits Convention Center, NYC.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner, Inc. "Hype Cycle for Retail Technologies, 2018” by Robert Hetu, 25 July, 2018