Best Operations Management Software for Amazon Q

Compare the Top Operations Management Software that integrates with Amazon Q as of October 2025

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This a list of Operations Management software that integrates with Amazon Q. Use the filters on the left to add additional filters for products that have integrations with Amazon Q. View the products that work with Amazon Q in the table below.

What is Operations Management Software for Amazon Q?

Operations management software streamlines and oversees core business processes, from production and inventory to supply chain and quality control, ensuring efficient day-to-day operations. It integrates data from various departments, providing a unified view that helps managers make informed decisions and optimize resource allocation. By automating routine tasks like scheduling, order tracking, and workflow management, the software reduces manual effort and minimizes operational delays. Analytics and reporting features offer insights into productivity, cost control, and process improvements, helping teams to adapt to changing business demands. Ultimately, operations management software enhances productivity, reduces costs, and supports continuous improvement across the organization. Compare and read user reviews of the best Operations Management software for Amazon Q currently available using the table below. This list is updated regularly.

1

Jira

Atlassian

Jira is the only project management tool you need to plan and track work across every team. Jira by Atlassian is the #1 software development tool for teams planning and building great products. Trusted by thousands of teams, Jira offers access to a wide range of tools for planning, tracking, and releasing world-class software, capturing and organizing issues, assigning work, and following team activity. It also integrates with leading developer tools for end-to-end traceability. From short projects, to large cross-functional programs, Jira helps break big ideas down into achievable steps. Organize work, create milestones, map dependencies and more. Link work to goals so everyone can see how their work contributes to company objectives and stay aligned to what’s important. Your next move, suggested by AI. Atlassian Intelligence takes your big ideas and automatically suggests the tasks to help get it done.

44 Ratings

Starting Price: Free

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2

Amazon QuickSight

Amazon

Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications.

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3

AWS Supply Chain

Amazon

Mitigate overstock and stock-out risks to improve customer experiences while lowering excess inventory costs. Quickly gain visibility across your supply chain without replatforming, upfront licensing fees, or long-term commitments. Make more informed supply chain decisions with machine learning (ML)–powered actionable insights. View the overall health of your supply chain network, and get ML-powered insights about potential inventory risks such as excess stock or stock outs. Quickly set up AWS Supply Chain using ML models that understand, extract, and transform disparate data into a unified data lake. Review recommended actions that can mitigate risks, and use built-in contextual collaboration capabilities to agree on and implement decisions faster. Generate more accurate demand forecasts to reduce stock outs. Increase demand planning accuracy with ML models that continually improve over time.

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