Zia Recommendation in Zoho CRM is an AI feature that suggests the most relevant products or services to offer a specific customer, based on their purchase history, preferences, and the buying patterns of similar customers. It is designed to surface upsell and cross-sell opportunities automatically.
Zia Recommendation analyses the transaction history in Zoho CRM to identify which products a customer is likely to buy next. It compares the customer’s purchase pattern against clusters of similar customers and surfaces product recommendations directly on the Contact or Account record.
When a sales rep opens an Account record, the Zia Recommendation widget on the record might show: “Customers similar to this account also purchased Product X and Service Y. Recommended action: offer a bundle with 10% discount.” The rep can act on this without needing to analyse the data themselves.
Administrators configure Zia Recommendation by specifying the module (typically Accounts or Contacts), the transaction module (typically Sales Orders or Deals with Products), and the product catalogue. Zia then builds the recommendation model from historical data. The minimum data requirement is typically 50-100 historical transactions.
Zia Recommendation in Zoho CRM is an AI feature that suggests the most relevant products or services to offer a specific customer, based on their purchase history, preferences, and the buying patterns of similar customers. It is designed to surface upsell and cross-sell opportunities automatically.
Zia Recommendation uses collaborative filtering on historical transaction data – it identifies customer clusters with similar buying patterns and recommends products bought by similar customers that the current account has not yet purchased.
Zia needs historical order or deal data with product line items linked to customer records. A minimum of approximately 50-100 transactions is needed for the model to generate meaningful recommendations.
Aaxonix is a certified Zoho implementation partner based in Pune. Architecture-first, no surprises.