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Marketing & Small Business8 min read

Reactiv cuts merchant configuration time 80% with Amazon Bedrock AgentCore

Reactiv, a provider of native mobile commerce apps for Shopify merchants, built an AI Scheduler on Amazon Bedrock AgentCore to automate app updates. Merchants can issue natural‑language requests such as “Refresh my homepage with best sellers every Monday at 9 AM,” and the three‑agent system handles intent classification, analytics, and configuration generation without manual steps.

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What you can do with it

AI at Work →
React​iv AI Scheduler by Reactiv

Update product listings daily with React​iv AI Scheduler

Automates homepage and layout changes on a set schedule using natural-language prompts.

Who for
marketers, founders and online shops
Cost
Price not stated
Effort
minutes

Use it for

  • Refresh homepage weekly
  • Update product listings daily
  • Apply brand guidelines automatically

How to set it up · From the article

  1. Create a scheduled task via the Reactiv dashboard or chatbot.
  2. EventBridge triggers a Lambda that validates the merchant and loads current config.
  3. Lambda invokes AgentCore runtime where three agents classify intent, analyze data, and build updates.
  4. Builder Agent updates the app config, stores it in DynamoDB, and awaits merchant approval.

Watch out Only available to Reactiv customers; Bedrock usage may incur extra fees

What happened · AWS Machine Learning Blog Get more customersSell moreRun the business

React​iv AI Scheduler in the tool directory

Key points from the news

  • Reactiv reduced merchant configuration time by 80%, cutting 17‑hour tasks to 3 hours.
  • Production rollout sped up 33% (10 weeks vs 15 weeks) after moving to AgentCore.
  • Compute cost savings of about $6,000 per year and job execution halved to ~5 minutes.

According to Reactiv’s internal measurements, the new workflow reduced merchant configuration time by 80%, turning 17‑hour manual tasks into 3‑hour jobs and cutting the time to production by 33% (10 weeks versus 15 weeks). Job execution time fell from over 10 minutes to about 5 minutes, and the team saved roughly $6,000 per year in compute costs. The solution runs each merchant’s agents in isolated Firecracker microVMs, provides persistent cross‑session memory, and hosts the configuration‑MCP natively on AgentCore, eliminating the need for custom OpenAPI specs and authentication layers.

The story so far

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  1. Reactiv cuts merchant configuration time 80% with Amazon Bedrock AgentCorethis story
Full story from AWS Machine Learning Blog · by Adam Gibicar primary sourceOpen source ↗

How Reactiv automates mobile commerce 80% faster with Amazon Bedrock AgentCore

AWS Machine Learning Blog · 22 September 2026

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This text was published by AWS Machine Learning Blog and written by Adam Gibicar. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
ReactivAmazonShopifyStrandsAdam Gibicar

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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