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Consumer Electronics

Product intelligence from a connected appliance fleet

A leading global consumer appliances company

IoT telemetry, competitive pricing intelligence and anomaly detection in production

70,000
telemetry records per minute, queryable in plain English
Industry
Consumer electronics / connected appliances
Scale
70,000+ telemetry records per minute
Engagement
IoT analytics + pricing intelligence + anomaly detection
Architecture shown
Google Cloud reference design

The challenge

  • A large connected fleet produced telemetry no non-technical team could actually query
  • Competitive pricing had to be tracked manually, and did not exist at all for some markets
  • Device anomalies were found by manual investigation, usually after customers noticed
  • Product teams needed SQL to answer basic questions about fleet behaviour

What it had to do

  • Ingest fleet telemetry continuously without dropping records
  • Let product and analyst teams ask questions without SQL
  • Detect and classify anomalies before customers feel them
  • Track competitor pricing across retailers and SKUs daily

What we built

We built the streaming path for fleet telemetry, then put a natural-language layer over it so product teams could ask questions directly. Anomaly models classify issues by severity and route alerts to the right team, and a separate pipeline tracks competitor pricing across retailers and SKUs with multiple refreshes a day.

Streaming telemetry

Continuous ingest from the device fleet at 70,000+ records per minute.

Plain-English queries

Analysts ask questions about fleet performance without writing SQL.

Anomaly detection

Models classify anomalies by severity and route alerts before customers notice.

Pricing intelligence

160 retailers and 1,150+ SKUs tracked live, with several refreshes a day.

Reference architecture

Fleet

  • Device telemetry
  • Retailer feeds

Stream

  • Pub/Sub
  • Dataflow

Store

  • Bigtable
  • BigQuery

Act

  • Vertex AI
  • Gemini NL query
  • Looker

Results

  • Competitive pricing intelligence live in production across 160 retailers and 1,150+ SKUs in three countries
  • Fleet telemetry made accessible to non-technical product teams through a natural-language interface for the first time
  • Real-time anomaly detection against the live fleet, classified by severity and routed to the right team
  • Predictive maintenance schedules generated from actual usage patterns rather than fixed intervals
  • Automated daily and weekly reporting replaced manual investigation

For product teams

Fleet questions get answered directly, without a data request.

For support

Issues surface before customers report them.

For commercial

Pricing position is visible daily, including in markets that had no coverage.

  • Pub/Sub
  • Dataflow
  • Bigtable
  • BigQuery
  • Vertex AI
  • Gemini
  • Looker

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