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Manthan to Showcase AI-Powered Algorithmic Retailing at the NRF Big Show 2019

January 10, 2019

SANTA CLARA, Calif.--(BUSINESS WIRE)--Jan 10, 2019--Manthan, a leading AI and cloud analytics company today unveiled its pioneering vision of an intelligent retail business that uses analytics augmented by artificial intelligence. This is an industry-first showcase of ‘The Store That Knows’ at the upcoming 2019 NRF Big Show in New York City. The company’s latest innovations in analytics technology combine the power of AI and Machine Learning, context aware computing, prescriptive analytics and conversational analytics in their solutions for retail.

Manthan explains that ’ The Store That Knows’ is an intelligent omnichannel business that automatically senses data and business contexts, analyzes and recommends decisions and actions across retail functions such as customer engagement, marketing, personalization, algorithmic pricing, assortment optimization, inventory optimization, store operations and supply chain. AI makes these analytics applications intelligent, human-like and automated.

“As digital data grows, and relationship between retailers and consumers becomes more complex and dynamic, AI-augmented analytics is necessary to sift through granular business moments. Going forward, users need not request for information. Systems that are intelligent and aware of data, user needs and business goals will start with recommendations that empower users by focusing on areas that need attention and action,” said Atul Jalan, Founder and CEO at Manthan.

Prescriptive Analytics from Manthan are based on three core tenets:

Algorithmic decision making

Until now, analytics has been about ‘data serving’. Business users need to scan lengthy reports and make decisions based on the data presented to them. With AI embedded analytics, business users get recommendations on the best decision options, making decision making truly data driven.

Automated insight generation

Be it issues, opportunities or anomalies, surfacing insights from data can power several retail use cases. For example, insight that green parka jackets will go out of stock in 12 days in Jefferson City store is valuable to retailer, rather than knowing current inventory levels.

Friction-less consumption

By removing the need for IT intervention and coding knowledge, AI makes analytics truly business-user friendly. Manthan delivers this with Maya, a conversational voice and chat based interface that marketers, merchandisers and even executives love.

“There is no lack of vision in the retail sector, but they often find it hard to operationalize those plans due to the tools they have. We have brought AI out of the labs, and embedded it into business applications that solve real problems,” said Siva Harihariyer, SVP, Americas at Manthan.

Manthan will be showcasing its Artificial Intelligence and prescriptive capabilities at booth #4719 of the National Retail Federation (NRF) Conference & Expo, January 13-15, 2019 at the Jacob K. Javits Convention Centre, NYC. To book an appointment, get in touch today.

About Manthan

Manthan is a leading cloud analytics company pioneering applications for consumer-facing businesses. Manthan excels in the application of decision sciences and AI; its suite of products has been recognized for enabling the shortest path to profit. Manthan’s products use machine intelligence to process decision contexts and respond automatically with actions. Headquartered in Bangalore with offices in Santa Clara, London, Dubai, Mexico City, Singapore and Manila, Manthan’s footprint spans 22 countries. For more information, please visit https://www.manthan.com

View source version on businesswire.com:https://www.businesswire.com/news/home/20190110005458/en/

CONTACT: Media contacts:

Amit Jain

amit.jain@manthan.com

+91 98860 62866

KEYWORD: UNITED STATES ASIA PACIFIC NORTH AMERICA CALIFORNIA NEW YORK INDIA

INDUSTRY KEYWORD: TECHNOLOGY INTERNET SOFTWARE RETAIL OTHER RETAIL

SOURCE: Manthan

Copyright Business Wire 2019.

PUB: 01/10/2019 10:36 AM/DISC: 01/10/2019 10:35 AM

http://www.businesswire.com/news/home/20190110005458/en

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