OPLOG, a technology-driven fulfillment company powered by AI and robotics, processes millions of items monthly across Türkiye, the United Kingdom, and Germany for major brands and global marketplaces. Operating a customer-agnostic fulfillment model where multiple brands share warehouse infrastructure, workers, and autonomous robots, OPLOG faced a challenge common to many B2B organizations: fragmented business data across systems resulted in delayed insights and manual reporting that consumed hours of productive time daily.

To address this challenge, OPLOG built a production-ready business intelligence (BI) system using AI agents deployed on Amazon Bedrock AgentCore. The solution processes business transactions autonomously, delivering real-time intelligence across sales pipeline management, data quality enforcement, and prospect research. The results demonstrate measurable business impact: 35% reduction in sales cycles, 91% improvement in CRM data completeness, and 98% reduction in manual research time.

In this post, we show you how OPLOG developed three AI agents using the Strands Agents SDK, deployed them to Amazon Bedrock AgentCore, and integrated Amazon Bedrock with Anthropic’s Claude Sonnet and Amazon Bedrock Knowledge Bases for Retrieval(RAG). We describe the architecture, implementation approach, and business outcomes that demonstrate how AI agents can transform BI operations.