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US' Antuit unveils omnichannel-aware solution for retail

16
Sep '21

Pic: Antuit

Antuit.ai, a leader in AI-powered SaaS solutions, has launched the forecasting, allocation, and replenishment suite for retail. The omnichannel-aware suite employs AI and machine learning to anticipate consumer demand at the most granular levels across all fulfilment channels by leveraging internal and external data to evaluate all demand drivers.

The forecasting, allocation and replenishment solution suite works particularly well in the apparel/footwear/soft-lines segments of retail, where market factors have made it critical to automate more decision-making and let humans focus on the exceptions and strategic aspects of the business, Antuit said in a press release.

“Omnichannel-aware is all about positioning inventory intelligently, within your DC and store network, to be closest to the customer to enable fulfilling demand in-store, curb-side or delivered to home in the most profitable way while meeting and exceeding service level expectations. Our new suite, which includes AI demand forecasting, optimised allocation of initial inventory and in-season Replenishment, streamlines the management of business rules across all three offerings to ensure that a company’s strategy is carried out at each stage of a product’s lifecycle. More importantly, it connects the decisioning across all of the inventory optimisation tools by leveraging a hyper-localised, unified demand signal that takes into account consumer demand, sales, events, pricing, promotions and returns,” Yogesh Kulkarni, co-CEO of Antuit said in a press release.

“Humans have traditionally not trusted analytics due to concerns for new product innovation and demand shifts. However, with our granular forecasts and ability to identify priorities and exceptions, we provide performance reporting so users can focus on managing their whole business rather than managing each decision line by line,” Kaushik Katari, chief products officer for Antuit said.

Fibre2Fashion News Desk (GK)

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