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Antuit.ai & PredictHQ promote AI-driven demand forecasting
30 Sep '20
2 min read
Pic: Shutterstock
Antuit.ai and PredictHQ, the demand intelligence company, have formed a partnership to bring PredictHQ’s expanded and localised data sets, such as events, sports, and severe weather, into Antuit.ai’s AI-powered demand forecasting. Antuit.in, which is headquartered in the US, is a leader in AI-powered solutions for forecasting and merchandising.
With the impact of the COVID-19 pandemic, many companies have had to accelerate their digital transformation significantly. Core to their success is leveraging localised event data and AI-assisted demand forecasting to inform inventory management and labour optimisation strategies.
The Antuit.ai and PredictHQ partnership will see PredictHQ’s demand intelligence added into Antuit.ai’s predictive models for key customers. Antuit.ai’s industry-leading AI demand forecasting will now include PredictHQ’s verified and intelligent event data which provides much needed local context for every store about relevant demand catalysts such as sports (both nearby and televised), school holidays, academic events, severe weather and 14 more categories.
“Antuit.ai works with leading global retailers and consumer product companies to help them unlock the power of AI to dramatically increase demand forecast accuracy in order to improve store replenishment, order fulfilment, demand planning, and pricing. Incorporating PredictHQ’s localised data into our demand forecasting solutions can further enhance the accuracy at the Store/SKU/Week level to further reduce out-of-stocks and excess inventory,” Craig Silverman, CEO of Antuit.ai said in a press release by the company.
“The recovery is going to be dynamic and hyper localised, so retailers with hundreds or thousands of locations are turning to data-driven solutions to accurately understand the environment of each of their stores. Our demand intelligence provides this and Antuit.ai’s solutions enable them to calibrate their inventory and staffing strategies to future demand. We are excited to be working with Antuit.ai and helping retailers and consumer products companies build laser-focused and effective recovery strategies,” PredictHQ CEO Campbell Brown said.
With the impact of the COVID-19 pandemic, many companies have had to accelerate their digital transformation significantly. Core to their success is leveraging localised event data and AI-assisted demand forecasting to inform inventory management and labour optimisation strategies.
The Antuit.ai and PredictHQ partnership will see PredictHQ’s demand intelligence added into Antuit.ai’s predictive models for key customers. Antuit.ai’s industry-leading AI demand forecasting will now include PredictHQ’s verified and intelligent event data which provides much needed local context for every store about relevant demand catalysts such as sports (both nearby and televised), school holidays, academic events, severe weather and 14 more categories.
“Antuit.ai works with leading global retailers and consumer product companies to help them unlock the power of AI to dramatically increase demand forecast accuracy in order to improve store replenishment, order fulfilment, demand planning, and pricing. Incorporating PredictHQ’s localised data into our demand forecasting solutions can further enhance the accuracy at the Store/SKU/Week level to further reduce out-of-stocks and excess inventory,” Craig Silverman, CEO of Antuit.ai said in a press release by the company.
“The recovery is going to be dynamic and hyper localised, so retailers with hundreds or thousands of locations are turning to data-driven solutions to accurately understand the environment of each of their stores. Our demand intelligence provides this and Antuit.ai’s solutions enable them to calibrate their inventory and staffing strategies to future demand. We are excited to be working with Antuit.ai and helping retailers and consumer products companies build laser-focused and effective recovery strategies,” PredictHQ CEO Campbell Brown said.
Fibre2Fashion News Desk (GK)
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