Personalization without cold starts
Shopping assistants that build preference profiles from every interaction. Recommendations improve with every conversation. No more asking the same questions.
Why e-commerce AI needs memory
Shopping assistants ask the same questions every session. "What size are you?" "What's your budget?" "Do you prefer any brands?" Customers answer these once and expect them to stick.
Recommendation engines rely on click data, not conversation context. A customer who told the agent they prefer sustainable brands still sees fast-fashion recommendations.
Cart abandonment context is lost. A customer who left because of shipping costs comes back and the agent has no idea why they left.
Cross-session purchase intent is invisible. A customer researching winter coats over three sessions looks like three separate visitors to a stateless agent.
How DeltaMemory powers personalized commerce
Preference Profiles
Size, brand preferences, budget range, style preferences, and sustainability values are extracted automatically and available in every session.
Purchase Intent Tracking
DeltaMemory tracks research patterns across sessions. A customer browsing winter coats for three sessions gets proactive recommendations, not repeated questions.
Conversational Commerce
Shopping agents that remember past purchases, returns, and satisfaction levels. Recommendations are informed by the full relationship history.
Abandonment Context
When a customer returns after abandoning a cart, the agent knows what they were looking at and why they might have left.
Cross-Channel Memory
Conversations from chat, email, and voice are unified into a single customer memory. Context follows the customer, not the channel.
Zero Cold Start
New sessions start with full context. No onboarding questions. No preference surveys. The agent already knows.
The difference memory makes
A returning customer asks a shopping assistant for shoe recommendations. The agent asks about size, preferred brands, and budget. The customer provided all of this two weeks ago. They get generic recommendations that ignore their stated preference for sustainable brands.
The agent greets the returning customer, recalls their size (10), brand preferences (Allbirds, Veja), and budget range ($100-$180). It surfaces three new arrivals matching those criteria. The customer finds what they want in under two minutes.