Connecting customer, product and interaction data
A CRM alone does not create a complete customer view. Identity matching, consent, product, order, service, contact and behavioral data are connected with clear purpose and ownership.
- Customer and account identity
- Product, price and inventory data
- Order and service history
- Consent, preference and channel context
Omnichannel commerce and service
Web, mobile, store, contact center, partner and messaging channels are supported by shared business rules and current data. An interaction that begins in one channel should not lose context when it moves to another.
- B2B/B2C commerce integration
- Order, payment and fulfillment flow
- Service and case management
- Campaign and communication orchestration
AI-assisted customer interactions
AI assistants are grounded in verified product, policy and customer context. Protected account information remains permissioned, while financial or binding actions follow approval and system rules. The assistant must be able to hand off when it cannot answer safely.
- RAG-grounded product and service knowledge
- Intent, classification and routing
- Agent assist and interaction summaries
- Governed actions and human handoff
Peak resilience and experience measurement
During campaigns or seasonal peaks, application, payment, inventory, integration and support capacity are assessed together. Experience is measured through task completion and customer effort, not page speed alone.
- Load, capacity and bottleneck testing
- End-to-end synthetic transactions
- Conversion and abandonment points
- Complaints, repeat contact and resolution quality