GCPEvidence: Low40/100

Transcom: Delivering world-class customer service with insightful data from BigQuery and Looker

Transcom provides digitally enhanced customer experience services to 300+ of the world’s best-known and most ambitious brands which rely on on-, off- and nearshoring services across 69 contact centers and work-at-home networks in 26 countries. The company uses Google Cloud technologies including BigQuery, Looker, Contact Center AI, and Dialogflow Enterprise Edition to unify data and support customer service operations.

Organization
Transcom
Location
Sweden
Published
May 2026

Planned next steps

  • The source says this outcome is planned: Real-time conversational analytics for agents.
  • The source says this outcome is planned: Captured top-agent learnings for coaching.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Transcom
Provider
GCP
Maturity
Unknown

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

  • 1Customer Service
  • 2Customer Analytics
  • 3Speech Analytics
  • Transcom integrated data feeds from hundreds of sources into BigQuery to build its internal Transcom Reporting Experience platform.
  • It uses Looker to unify metrics for performance management, client reporting, and customer satisfaction analysis.
  • The article says Transcom plans to use Contact Center AI so agents can see real-time conversational analytics, deploy more sophisticated voicebots and virtual assistants, and capture learnings from top-performing agents for coaching.
  • Processes 1.5 million customer interactions per day with real-time AI insights.
  • Integrates data feeds from 200 different sources with BigQuery.
  • Unifies metrics with Looker for performance management and client reporting.
Architecture

Transcom built an internal reporting experience on BigQuery that integrates enterprise master data and client-specific data streams, then uses Looker for measurement and visualization. The article also describes planned use of Contact Center AI for real-time conversational analytics and virtual-agent support in contact centers.

Sources & evidence1
Evidence: Low40/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Was this useful?

Community

Comments

No published comments yet.

Similar cases