Origins-AI & Amazon: Efficiency & Optimization
The collaboration between Origins-AI and Amazon focused on enhancing efficiency and cost-effectiveness within the Amazon Sellers Promotion & Deals Team. As a Software Engineer and DevOps specialist, Origins-AI contributed to system design, project leadership, and cost optimization, helping streamline operations for deal management. Key accomplishments included designing a bulk editing system, reducing AWS costs through data pattern analysis, and migrating legacy systems, ultimately enabling Amazon to offer more competitive promotions and improve overall platform functionality.
About Amazon
Amazon India, a subsidiary of Amazon.com, launched in 2013, has become a leading e-commerce platform in India, offering a vast array of products across categories such as electronics, fashion, home essentials, and more. The platform provides services like Amazon Prime, which includes benefits such as free and fast delivery, access to Prime Video, and exclusive deals. Amazon India also supports local businesses through initiatives like Amazon Saheli and Amazon Karigar, promoting products from women entrepreneurs and artisans. Additionally, the company has invested significantly in infrastructure, including fulfillment centers and data centers, to enhance customer experience and support its operations in the country.
Our Partnership with Amazon
Industry
Technology & Electronics
Services
IoT Data Analysis and Model Development
Business Type
Research & Development
Technologies Used
Python
Machine Learning
Server Development
IoT Sensors
Data Visualization Tools
The Challenges
BES (Bulk Editing System)
Designing an efficient bulk editing system for deals and promotions was challenging due to the complex data structures and varying requirements of Amazon’s promotional tools. Ensuring compatibility across multiple product categories and promotion types required extensive planning and testing.
AWS Cost Management
High AWS costs were a persistent issue, especially with fluctuating data access patterns that impacted storage and retrieval expenses. Identifying and addressing inefficiencies in data handling was crucial to control costs without affecting performance.
Ticket Resolution Backlog
Resolving a backlog of operational and programming tickets presented a challenge in maintaining system stability and handling diverse issues quickly. Many tickets required cross-functional knowledge and fast debugging, often with limited documentation on legacy systems.
Legacy Codebase Migration
Migrating dependencies of an extensive legacy codebase to the latest libraries and frameworks posed compatibility challenges and the risk of service disruptions. This required careful testing to ensure new libraries would integrate seamlessly with the existing architecture.
The Solutions
Streamlined Bulk Editing System
We developed a system that allowed users to perform bulk edits on deals and promotions across various categories.
AWS Cost Optimization through Data Analysis
By analyzing data access patterns, we identified high-cost areas and restructured data storage and retrieval processes. This solution not only lowered AWS costs significantly but also improved data access speeds, benefiting overall system performance.
Ticket Management and Quick Resolutions
Implemented a structured ticket prioritization process to handle the backlog efficiently, addressing high-impact issues first. Streamlined deployment processes helped resolve 87 tickets within a span of 84 hours, reducing the strain on system operations and enhancing user satisfaction.
Legacy Code Modernization
To migrate the legacy codebase, we used automated testing and gradual integration strategies. Each dependency was updated and tested incrementally, which minimized risks and ensured a smooth transition to updated libraries.
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Frequently Asked Questions
What AI services does Origins AI offer for enterprises?
Origins AI provides end-to-end AI-driven solutions, including AI strategy consulting, data engineering, machine learning model development, AI agent deployment, and digital transformation services. We work with enterprises to modernize operations, enhance decision-making, and unlock new revenue opportunities.
Are your AI solutions compliant with industry regulations like ISO, SOC 2, or GDPR?
Yes. We follow globally recognized standards such as ISO 27001, SOC 2, and GDPR guidelines. Our solutions are designed with built-in compliance measures to ensure data privacy, security, and regulatory alignment for industries like healthcare, finance, and e-commerce.
How does Origins AI integrate AI into existing enterprise systems?
We specialize in integrating AI solutions into both modern cloud-based platforms and legacy systems. Using APIs, middleware, and custom connectors, our team ensures minimal disruption while enabling advanced analytics, automation, and real-time insights within your current infrastructure.
What engagement models do you offer for long-term or ad hoc AI needs?
We offer flexible engagement models, including dedicated AI teams, project-based contracts, time-and-materials agreements, and build-operate-transfer (BOT) partnerships. This allows enterprises to choose the most cost-effective and scalable option for their needs.
Do you provide fixed-cost or milestone-based pricing?
Yes. Depending on project scope and requirements, we can work on fixed-cost, milestone-based, or subscription-based pricing models, ensuring transparency and predictable budgets.
What industries benefit most from your AI solutions?
We serve industries including healthcare, fintech, retail, logistics, manufacturing, travel, and telecom. Our domain-specific AI models and expertise allow us to tailor solutions that solve sector-specific challenges and deliver measurable ROI.
Do you provide AI education and consultancy for internal teams?
Absolutely. We offer enterprise AI training programs, workshops, and consulting services to help upskill your teams in AI strategy, data science, and AI product deployment, ensuring sustainable AI adoption.
What frameworks and technologies do you use to speed up delivery?
We leverage modern AI and development frameworks such as TensorFlow, PyTorch, LangChain, MLOps pipelines, and container orchestration tools like Kubernetes. Our use of pre-built AI agents and modular architectures accelerates deployment timelines without compromising quality.
How do you ensure data security in your AI solutions?
We use advanced encryption (both at rest and in transit), secure authentication protocols, and continuous security monitoring. All data handling adheres to the principle of least privilege, ensuring maximum protection against unauthorized access.