Retail technology solutions provider iRecommend Software has introduced a new software solution, Recommendation360 Retail, for the retail and e-commerce industries in the US.

Recommendation360 allows retailers and e-commerce companies to offer personalised product recommendations to their customers.

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The software company worked for four years to design and develop the recommendation solution through research and development in AI and machine learning.

“The retail industry is facing increasing online competition, declining customer retention, and a growing demand for a more personalized, seamless, omnichannel experience.”

iRecommend Software founder and CEO said: “Every consumer-based retailer wants to provide a true real-time personalised experience for each customer. Yet, there is no way to achieve that without an intelligent, adaptive recommendation system.

“The retail industry is facing increasing online competition, declining customer retention, and a growing demand for a more personalized, seamless, omnichannel experience.

“Recommendation360 Retail empowers retailers with a scalable, adaptive, and intelligent recommendation engine to provide a unique shopping experience for each customer across multiple channels.”

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The new solution analyses previously unconnected data with keyword search, user-input and past purchases to generate consumer profiles with increased accuracy.

Retailers can use this data to offer relevant product recommendations and create a personalised shopping experience for each customer across multiple channels.

Based in Tulsa, Oklahoma, iRecommend software currently offers applications across multiple industries, including e-commerce and retail.

The company uses AI recommendation engine to develop its recommendation platforms that offer assistance in product segmentation, filtering, and scoring consumer data.

iRecommend has also a presence in New York, San Francisco, along with London and Dubai.