Barmetrix
Kensington, Maryland
Bar and Restaurant Inventory Management
Amazon Bedrock, AWS Lambda, Amazon S3, Amazon API Gateway, AWS SageMaker, Pinecone VectorDB
Barmetrix, a leader in bar and restaurant inventory management, sought to speed up its reporting process by generating automated email templates and inventory charts using Generative AI. Avahi proposed a project solution on AWS featuring Amazon Bedrock, AWS Lambda, and other services to streamline the data flow and reduce the time needed to deliver inventory reports. The result was a three-week engagement fully funded by AWS, yielding a working project that demonstrates fast, reliable, and automated report generation capabilities.
Barmetrix is a bar and restaurant inventory management specialist operating across North America. The company’s services focus on helping hospitality businesses improve profitability and efficiency through meticulous inventory control and actionable reporting.
With traditional processes, Barmetrix faced delays creating and customizing bar inventory reports for its clientele. These manual tasks involved gathering data from a Microsoft Azure SQL Database and turning them into clear, concise reports. Failure to reduce turnaround times could have led to inefficiencies, slower decision-making for Barmetrix’s customers, and missed opportunities to scale the business on a larger, more automated foundation.
AWS offered Barmetrix a wide range of AI-driven services, such as Amazon Bedrock and AWS SageMaker, that could be quickly implemented and tested in a project environment. The scalability and reliability of AWS allowed Barmetrix to trial new AI functionalities within a three-week window, without committing to costly physical infrastructure.
Avahi stood out due to its proven track record with Generative AI solutions and advanced AWS partnerships. The Barmetrix team needed a partner that understood both the hospitality industry’s operational pressures and the technical complexities of AI/ML on AWS. Avahi’s clear planning, prompt-engineering experience, and ability to leverage AWS funding made it an ideal choice to execute this project quickly and effectively.
Avahi implemented a middleware layer that connects Barmetrix’s Azure SQL data to AWS-based AI services. The project uses Amazon Bedrock for generative model inference and AWS SageMaker for potential fine-tuning or future productionizing of ML workloads. A basic React UI was developed to demonstrate how Barmetrix’s end users could interact with:
Key Deliverables

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