AlibabaProductionEvidence: Medium55/100

CHARLES & KEITH uses Alibaba Cloud Data Middle-End Platform and Image Search to enable product popularity forecasting and unified data intelligence

Use case typeRetail analytics platformUpdated 8 hours ago

CHARLES & KEITH is a Singaporean fashion retailer with nearly 700 stores in over 30 countries and online shipping to nearly 60 markets. The company used Alibaba Cloud Image Search to find similar past products and forecast whether new items would become popular before launch. It built a centralized data platform with Alibaba Cloud Data Middle-End Platform, and used Alibaba Cloud DataWorks and MaxCompute for big data development, governance, and analytics, including real-time customer traffic flow dashboards.

Organization
CHARLES & KEITH
Industry
Retail
Location
Singapore
Published
July 2026

Reported outcomes

Strategic outcomes

Better decisions & insightImproved new-product forecastingCost efficiencyImproved data-driven operationsBetter decisions & insightReal-time store traffic visibility
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
CHARLES & KEITH
Provider
Alibaba
Maturity
Production

It improved operational efficiency through a unified, data-driven operating model

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Retail analytics platform
  • 2Demand forecasting
  • 3Data platform modernization
  • Rapid international expansion and frequent new product launches created a need to improve data-driven operations, break down data silos, and forecast the popularity of new items before release.
  • The company also needed faster visibility into store traffic and stronger operational efficiency across teams.
  • Alibaba Cloud Image Search was used to search by image similarity and compare new products with similar historical products such as handbags.
  • Alibaba Cloud Data Middle-End Platform centralized data assets and fed data back into production systems to support data-driven business operations.
  • Alibaba Cloud DataWorks and MaxCompute supported big data development, governance, warehousing, and real-time dashboards.
Technologies
Alibaba Cloud Image SearchAlibaba Cloud Data Middle-End PlatformAlibaba Cloud DataWorksAlibaba Cloud MaxCompute
  • The solution improved new-product decision-making by enabling image-similarity based product analytics.
  • It improved operational efficiency through a unified, data-driven operating model.
  • It improved real-time visibility for store operations through customer traffic flow dashboards.
Architecture

Image Search was used for image-similarity lookup and product forecasting; the Data Middle-End Platform centralized data assets and integrated them back into production systems; DataWorks and MaxCompute provided big data development, governance, warehousing, and analytics; real-time dashboards were used for store traffic visibility.

Sources & evidence1
Evidence: Medium55/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: Jul 28, 2026Publisher: Alibaba CloudEvidence: PrimaryConfidence: High
Primary source

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

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