Antuit.ai, a provider of AI-powered SaaS solutions, announced the general release of its Forecasting, Allocation and Replenishment suite to the retail market. This omnichannel-aware suite employs AI and machine learning to anticipate consumer demand at the most granular levels across all fulfillment channels by leveraging internal and external data to evaluate all demand drivers.
“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, curbside or delivered to home in the most profitable way while meeting and exceeding service level expectations,” says Yogesh Kulkarni, Co-CEO of antuit.ai. “Our new suite, which includes AI Demand Forecasting, optimized 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 optimization tools by leveraging a hyper-localized, unified demand signal that takes into account consumer demand, sales, events, pricing, promotions and returns.”
“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,” says Kaushik Katari, chief products officer for antuit.ai.
Serving Fortune 1000 companies globally, antuit.ai is rethinking the way retail and consumer products companies use AI to solve real business problems. Antuit.ai offers solutions that inform the most important business decisions, from supply chain to merchandising to marketing, empowering world-class retailers and consumer products companies to digitally transform their businesses to achieve substantial business results.
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