GCPEvidence: Medium50/100

Adya case study | Google Cloud

Adya, an ecommerce technology startup in India, builds platforms for ONDC sellers and small retailers. The company uses Google Cloud services including Gemini for Google Cloud, Gemini Code Assist, Google Kubernetes Engine, BigQuery, Looker Studio, Terraform on Google Cloud, and a custom LLM/agent platform to speed app launches and support search and development workflows.

Organization
Adya
Industry
Retail
Location
India
Published
June 2026

Reported outcomes

6 months

app launch timeTime & speed

1 hoursapp launch time2 monthsapp launch time

Strategic outcomes

Speed & agilityAutomated rapid app launchesRisk & complianceImproved reliability and securityNew product / capabilityEnabled voice and enterprise searchSpeed & agilityAccelerated application development
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

App launch time: 1 hours decrease

Google Cloud Customer StoryJun 6, 2026Customer storyExplicit claimMedium evidence strength

launches an app in just one hour instead of months

Normalized claim

App launch time: 2 months decrease

Google Cloud Customer StoryJun 6, 2026Customer storyExplicit claimMedium evidence strength

it could take two to six months to launch an app

Normalized claim

App launch time: 6 months decrease

Google Cloud Customer StoryJun 6, 2026Customer storyExplicit claimMedium evidence strength

it could take two to six months to launch an app

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Adya
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

  • 1Platform engineering
  • 2Ecommerce enablement
  • 3Developer productivity
  • Launching ecommerce apps for ONDC sellers could take two to six months, slowing adoption for small retailers.
  • The DevOps team needed automation, scalable infrastructure, and AI assistance for development and enterprise search.
  • Adya used Terraform on Google Cloud to automate scripting and reduce app launch time to about one hour.
  • It runs scalable workloads on Google Kubernetes Engine and uses BigQuery and Looker Studio for analytics.
  • The company uses Gemini for Google Cloud and Gemini Code Assist to support app development, voice search, and enterprise search use cases.
  • Adya also built a custom LLM called ADI and an agent orchestration platform called Vanij, layered with Gemini for retail-specific and broader language tasks.
  • App launch time dropped from 2-6 months to about 1 hour.
  • The solution standardized the product lifecycle and codebase for better reliability and security.
  • Gemini-based voice search and enterprise search capabilities were enabled or are under development.
  • Gemini Code Assist saved developers time in building applications.
Sources & evidence1
Evidence: Medium50/100Evidence strength
  • Customer explicitly identified
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 6, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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

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