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Monsoon Accessorize steps up personalised shopping agenda

Women's fashion retailer Monsoon Accessorize is offering personalised offers to its in-store shoppers via digital receipts, based on accurate customer shopping history.

By using RichRelevance's data-mining tools in conjunction with digital receipts from eReceipts, the high street retailer has been able to start sending out highly targeted product recommendations and offers to customers who shop in its 321 UK stores.

In a move representing a step towards gaining a single view of its customers, Monsoon Accessorize is leveraging RichRelevance's 125-plus machine learning algorithms in conjunction with its real-time decisioning engine. The customer offers are then placed on receipts based on a variety of factors such as online behaviour and items in basket.

Some 90% of the business's transactions come from stores, and the digital receipts are used alongside the retailer's loyalty card in learning about customer behaviour in the physical shopping environment.

The move from Monsoon was described by eReceipts as setting "a new benchmark of best practice for multichannel retailers".

A Monsoon spokesman added: "While relevant and targeted offers have been commonplace for online customers, the development of our multichannel emailed receipts solution marks a significant industry first and ensures our customers will benefit from product recommendations."

Argos and Booths supermarkets are among the other retailers working with eReceipts, while RichRelevance's client base includes John Lewis, Sweaty Betty and Urban Outfitters.

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