IT Operations Automation · Marketing Personalization · Security and Compliance
Legacy marketing tools often treat individual shoppers as spreadsheet averages, relying on broad customer segments and predictable, rigid automation rules. As a result, brands frequently blast customers with irrelevant, mistimed messages, which can quickly desensitize shoppers, lower conversion rates, and waste marketing budgets on ineffective campaigns.
Reported impact
360% business growth in one quarter with Google Cloud; 95% faster pipeline processing with Gemini platform; 90% lower pipeline costs using Gemma on Cloud TPUs; Replenit uses Google Cloud to anticipate individual shopper needs, cutting costs by 90% and driving 360% quarterly growth..
“We built an engine that runs hundreds of specialized agents simultaneously to read and enrich retail data,” explains Egemen Akdan, co-founder and CTO at Replenit. “Using BigQuery and Gemini platform, we can cleanly orchestrate these complex agentic workflows, turning raw behavioral signals into precise, actionable intent.” We built an engine that runs hundreds of specialized agents simultaneously to read and enrich retail data. Using BigQuery and Gemini platform, we can cleanly orchestrate these complex agentic workflows, turning raw behavioural signals into precise, actionable intent. The Replenit team used to build a multi-agent workflow where distinct, complementary AI agents take on specialized roles. Individual agents manage specific pipeline stages—such as enriching limited, fragmented retail data into structured memory for the customer, the product, and the brand.
stored or unified in BigQuery, processed with Gemini Pro, Gemma on Cloud TPUs, Cloud TPUs, orchestrated via Gemini platform, and surfaced through Gemini Flash, Gemini
360% business growth in one quarter with Google Cloud
90% lower pipeline costs using Gemma on Cloud TPUs
95% faster pipeline processing with Gemini platform
Building credibility and momentum with the
Replenit uses Google Cloud to anticipate individual shopper needs, cutting costs by 90% and driving 360% quarterly growth.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
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