What challenges did RELEX Solutions face before AI implementation?

Retailers face complex and time-consuming promotion campaign management with tens of thousands of weekly promotions. Poor promotion planning leads to overstocking, food waste, or out-of-stock issues, negatively impacting margins and customer satisfaction.

What was the impact of the AI solution?

Increased sales by 20% and net profit by 2-3% by optimizing retail promotions. Significant reduction in campaign management time, improving operational efficiency. Improved sustainability by reducing overstock and waste. High Net Promoter Score of 62 showing customer satisfaction and user trust.

Source

GCPProductionEvidence: Medium50/100

RELEX Solutions AI Retail Promotions Optimization

Use case typePricing optimizationUpdated Jun 13, 2026

RELEX Solutions uses Google Cloud to optimize retail promotion management, improving profit margins and reducing waste. Their platform processes vast retail datasets using BigQuery, Cloud Storage, Dataflow, and Google Kubernetes Engine. The forecasting models were migrated to Vertex AI for MLOps capabilities, and an AI agent built on Gemini and orchestrated with GKE enables natural language interaction and campaign automation.

Organization: RELEX Solutions
Industry: Retail
Location: Finland

Reported outcomes

2-3%

revenueRevenue & growth

Strategic outcomes

New product / capabilityBuilt AI-native promotion management platformNew product / capabilityAutomated campaign planning via AI agentSpeed & agilitySimplified promotion campaign managementSustainability & ESGReduced overstock and waste

Catalog median for revenue & growth deployments: +40% across 68 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Revenue: 2-3% increase

Google CloudUnknownInferred claimMedium evidence strength

Increased sales by 20% and net profit by 2-3% by optimizing retail promotions.

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

Customer: RELEX Solutions
Provider: GCP
Maturity: Production
Linked source: Google Cloud

Deployed an AI agent powered by Gemini on Vertex AI and managed with GKE that automates campaign planning through natural language interaction

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Retail Promotion Optimization
2AI-Powered Campaign Automation
3Forecasting and Demand Planning

Retailers face complex and time-consuming promotion campaign management with tens of thousands of weekly promotions.
Poor promotion planning leads to overstocking, food waste, or out-of-stock issues, negatively impacting margins and customer satisfaction.

Built an AI-native platform on Google Cloud using BigQuery for data processing and Vertex AI for model management.
Deployed an AI agent powered by Gemini on Vertex AI and managed with GKE that automates campaign planning through natural language interaction.
The AI agent significantly reduces promotion campaign management time from over 4 hours to under 2 minutes.

Technologies

Vertex AI Gemini BigQuery Cloud Storage Dataflow Google Kubernetes Engine

Increased sales by 20% and net profit by 2-3% by optimizing retail promotions.
Significant reduction in campaign management time, improving operational efficiency.
Improved sustainability by reducing overstock and waste.
High Net Promoter Score of 62 showing customer satisfaction and user trust.

Sources & evidence1

Evidence: Medium50/100Evidence strength