Atlas Seed

Custom eCommerce Platform

Atlas Seed eCommerce Platform Transformation

Atlas Seed stands at the forefront of the hemp and cannabis seed industry, distinguished by its premium quality products and an unwavering commitment to genetic excellence. Serving a diverse clientele that ranges from home growers to commercial cultivators, Atlas Seed has earned a reputation as a trusted partner in the agricultural and cannabis breeding sectors. With a dedication to innovation, Atlas Seed seeks to empower its customers with superior genetics for medium to large-scale farming endeavors.

The Challenge

As Atlas Seed expanded its market reach and product offerings, it encountered limitations with its existing WooCommerce platform and required a more enterprise solution. These challenges included scalability issues, inflexibility in integrating advanced features, and inefficiencies in handling the growing traffic and complex inventory. The need for a more scalable, and flexible eCommerce solution became evident to accommodate the dynamic nature of the business and to provide a seamless user experience for its diverse customer base.

AppEvolve’s Solution

To develop a custom, enterprise-level application using the following AWS services:

Migrate Existing eCommerce Site to Saleor / Django Running on AWS

Transition Atlas Seed's eCommerce operations to the Saleor platform, leveraging Django for enhanced scalability, flexibility, and performance on the AWS cloud infrastructure.

UI/UX Design

Undertake a comprehensive redesign of the Atlas Seed website to improve user experience, streamline navigation, and ensure a seamless shopping experience across devices.

Migrate All Non-eCommerce Functionality to the New Site Using Django

Consolidate all website functionalities under the Django framework to simplify management, enhance site performance, and improve security.

Integrate with Existing Third Parties

Integrate the new platform with existing third-party services and tools to maintain operational continuity and enhance functionality.

AWS Services

Lambda for serverless computing tasks and automation.
CloudFront for content delivery network services to speed up the distribution of static and dynamic web content.
DynamoDB for a fast and scalable NoSQL database service.
QuickSight for business intelligence tools to visualize sales and customer data.
RDS for relational database services for transactional applications.
ECS and Fargate for container management and serverless compute for containers.
CloudWatch and Control Tower for comprehensive visibility across AWS services.

Outcome and Project
Success Metrics

The migration and platform enhancement initiative for Atlas Seed yielded remarkable results:

Increased Scalability
The new Saleor/Django platform, coupled with AWS services, significantly improved the scalability of Atlas Seed's eCommerce operations, easily accommodating traffic spikes and inventory growth.
Enhanced Performance
Site performance metrics showed a 50% improvement in load times, directly contributing to a better customer experience and higher conversion rates.
Operational Efficiency
Streamlined operations and reduced manual processes through automation and integration, leading to a reduction in operational overhead.

Lessons Learned

The transformation journey for Atlas Seed produced several key insights:

Thorough Planning is Crucial
The complexity of migrating an existing eCommerce platform underscores the importance of detailed planning and a phased implementation approach.
User Experience is Paramount
Investing in UI/UX design pays dividends in customer satisfaction and sales conversion rates.
Flexibility for Future Growth
Choosing a scalable and flexible platform solution like Saleor/Django on AWS ensures the ability to adapt to future business needs and market changes.
Integration Capabilities
The necessity of seamless integration with third-party services and internal systems cannot be overstated for operational continuity and efficiency.
Continuous Monitoring and Optimization
Post-launch, continuous performance monitoring, and optimization are essential to maintain and improve the achieved gains.

Architecture Diagram

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