SCNET · Enterprise IT · Ankara, Türkiye

Sanal Çekirdek

Recognize the same customer across channels. Preserve the context of every interaction.

Customer experience solutions are services that connect identity, product, inventory, order, campaign, support, and payment data around one customer journey. Sanal Çekirdek designs that journey together with the underlying data and application layers, since breaks in experience often come from data kept in separate systems rather than from interface design.

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

How we work

  1. Define the business outcome and decision owners
  2. Establish baseline measures
  3. Design the integrated solution and operating model
  4. Run a controlled pilot and scale
  5. Measure results and update the roadmap

How success is measured

  • Task completion, conversion and abandonment
  • First-contact resolution and repeat contact
  • Order/transaction errors and latency
  • AI answer quality, human handoff and customer effort

Frequently asked questions

Is CRM enough for a single customer view?

CRM is important, but transaction, product, identity, consent, support and digital behavior data often lives elsewhere. Without integration and ownership, the CRM view remains incomplete.

Should an AI chatbot access customer accounts directly?

Only with strong authentication, explicit permission, data minimization and transaction policy. General information and personal-account actions should be designed as separate security zones and workflows.

How do you balance personalization and privacy?

Purpose, consent, data class, retention and preference management are defined from the outset. Data not needed for the experience is not collected, and sensitive inferences require separate risk assessment.

Is adding server capacity enough for peak periods?

No. Databases, cache, integrations, payments, third-party APIs, networking, queues and support operations must be tested together. The bottleneck often sits elsewhere in the transaction chain.

Address the customer journey together with the data and system dependencies behind it.

Assess the customer journey