Preferences
Preferred channel, best response window, communication style, known contacts, language, and service expectations.
CustomerIQ
CustomerIQ transforms fragmented conversations into unified identity, timeline evidence, predictive state, and real-time business context.
CustomerIQ benefits
Most AI systems wait for a message, retrieve old text, ask a model, and respond. CustomerIQ does the deeper work before the live request: it extracts durable facts, updates customer state, predicts likely next needs, and assembles the right context instantly when the customer returns.
Durable memory
CustomerIQ stores tenant-scoped customer facts with confidence, source event IDs, timestamps, and retention rules so the platform can reason over what is true now.
Preferred channel, best response window, communication style, known contacts, language, and service expectations.
Missing documents, promised callbacks, unresolved blockers, pending approvals, and follow-up tasks.
Owned products, active quotes, lifecycle stage, support risk, recent topics, and operating context.
Repeated billing questions, frustration trend, response timing, urgency, and channel switching patterns.
Every durable fact points back to the event, message, upload, call, or system record that supports it.
Permanent memory, short-lived intent, stale predictions, and compliance-sensitive fields are handled differently.
Timeline and evidence
CustomerIQ normalizes inbound and outbound messages, calls, emails, forms, payments, support events, quotes, invoices, missed responses, and artifact uploads into a customer timeline. The platform can answer the operational question that matters most: what changed recently?
Prediction layer
CustomerIQ precomputes likely next needs so OmniComm and VectraFlow do not rediscover the customer from scratch during a live conversation.
Profile and feature store
Embeddings are useful for finding evidence and documents. They should not be the source of truth for current intent, obligations, identity, preferences, risk, billing status, or next action.
Context assembler
Before an AI response is generated, CustomerIQ assembles a tight operational context packet: profile, session, open tasks, recent timeline, predicted next needs, relevant memories, documents, artifact expectations, tenant policy, and allowed actions.
CustomerIQ is persistent customer identity and predictive intelligence that transforms interactions into operational advantage.