More Buyers, Bigger Carts, Greater Profits. Know What Your Customers Want To See

Started in customer experience, using micro-surveys to better understand why shoppers leave their carts behind. Over decades, we’ve built a deep bank of data around the cascading decisions people make before, while, and after they’re on-site. Now we’re putting it to work.

Key Customers

JCPenny | Dick’s Sporting Goods | Samsung
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Engagement Model

Industry

About Mertical

Metrical is a smart targeting and real-time engagement platform that uses
artificial intelligence (AI) to predict when shoppers are likely to bounce or
abandon their purchase. It then engages them by providing them with
relevant guidance, substitute products, and, as a last resort, discounts.

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The Problem

Metrical.ai needed to develop a platform that could accurately predict when shoppers were likely to abandon their purchase and intervene in real time to keep them on the site. The platform also needed to be scalable and able to handle the high volume of traffic that Metrical.ai’s customers experience.

The Solution

We worked with Metrical.ai to develop their AI model and build their platform. We used our expertise in machine learning and distributed systems to create a platform that could meet Metrical.ai’s needs.

Project Breakdown

Team Formation

Our Partnership

We worked with Metrical.ai to develop their AI model and build their
platform. We used our expertise in machine learning and distributed systems
to create a platform that could meet Metrical.ai’s needs.

Technology Choice

Vanilla JS | Node.js | Mocha | S3 | Glue | Athena | Lambda function | RDS | Step Functions | Kinesis firehose | EC2 | SNS | SQS | MemoryDB | Amazon Eventbridge | CloudFormation | Cloudwatch | CodeCommit | DynamoDB

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Asif Khara Founder of Faremakers

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Metric.al’s AI-driven tool predicts and prevents cart abandonment, helping top brands boost engagement and conversions.

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