Increase the share of the wallet
A good recommendation is all about nudging your customers to make their next purchase, ultimately increasing your share of wallet by up-selling or cross-selling. With Agillic’s AI model crunching data across sources like website tracking, transaction history, and demographic data, you can make more qualified, relevant product recommendations to boost conversion.
Slice, dice, quantify and analyse customer data
Deploy AI to explore high volumes of data and detect patterns, enabling you to communicate in a hyper-personalised manner. With Agillic’s AI Preferences, your Agillic customer data can easily be sliced diced, quantified and analysed – and made actionable on a granular level. AI Preferences uncover your customers’ preferences relating to, for example, brands, bargains, and channels. It also informs you of the optimal time to reach your customers on a one-to-one basis at scale.