Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
A retail planning platform helping global retailers manage tens of thousands of weekly promotions that account for approximately 20% of total sales.
Retailers often repeat ineffective historical plans because manually optimizing thousands of concurrent campaigns is too complex. This lack of...
“Google Cloud's early capabilities in data, ML, and Kubernetes gave us a massive head start and we're now fully leveraging their platform approach to AI. By building on their products, we're able to ship faster and scale our infrastructure without the usual growing pains.”
RELEX Solutions's Promotion planning is part of this use case:
Supply chain and retail planning platform for retailers and consumer brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
Shoppers defaulted to processed food. AI now tracks pantry inventory to suggest recipes, boosting scratch cooking by 58%.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
Health apps relied on male 24h cycles. Privacy-first AI now scales female health insights to 100k users for just £1,000/mo.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.
Manual planning took 4+ hours per campaign. An AI pricing consultant now optimizes strategies in under 2 minutes via natural language.
A retail planning platform helping global retailers manage tens of thousands of weekly promotions that account for approximately 20% of total sales.
Retailers often repeat ineffective historical plans because manually optimizing thousands of concurrent campaigns is too complex. This lack of...
“Google Cloud's early capabilities in data, ML, and Kubernetes gave us a massive head start and we're now fully leveraging their platform approach to AI. By building on their products, we're able to ship faster and scale our infrastructure without the usual growing pains.”
RELEX Solutions's Promotion planning is part of this use case:
Supply chain and retail planning platform for retailers and consumer brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
Shoppers defaulted to processed food. AI now tracks pantry inventory to suggest recipes, boosting scratch cooking by 58%.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
Basket analysis took five months to build. Now, marketers use conversational AI to segment customers and launch campaigns instantly.
Health apps relied on male 24h cycles. Privacy-first AI now scales female health insights to 100k users for just £1,000/mo.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Repetitive coding slowed R&D. Now 80% of engineers use agentic tools to automate work, saving up to 2 hours weekly per person.
Manual testing consumed 20% of developer time. Now, 1,500 engineers use AI agents to auto-generate tests and prototype solutions.