In context
CRMs can already manage records, workflows and reporting. AI can add summaries, intent classification or suggested outreach. Features differ by product: an AI label does not establish cross-device identity, accurate lifetime-value predictions or permission to send messages.
For small ecommerce teams, that means the software proposes segments and outreach, and people decide the strategy and review drafts or configure approved sending workflows. Ecommerce shopper records serve a different job from B2B deal pipelines and sales forecasting.
How Zubby uses this
Zubby doubles as an AI CRM for the shoppers who chat, browse, and buy on your store. It builds a shopper profile from the agent's conversations, storefront activity, and your synced order history. The Shoppers page groups profiles by lifecycle stage, including VIPs, alongside a churn-risk watchlist.
Each shopper's page shows their linked orders, conversations, and lifecycle together; identity matching depends on available evidence, not an assumption that every device belongs to the same person. Outreach such as a winback runs through segments, journeys, and broadcasts, and escalated conversations reach your team in the inbox with the full transcript.