The Freshener : Warehouse Picking Automation System
Transforming warehouse operations through intelligent picking automation and real-time inventory intelligence. Built to reduce costs, minimize errors, and deliver 100% fulfillment reliability for modern distribution centers.
Industries
Services
Real-Time Warehouse Operations
Custom Software Development
IoT System Integration
Order Management Solutions
Fulfillment Process Optimization
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Introduction
The Freshener is a leading custom car air freshener brand that processes a high volume of personalized customer orders. As order volumes continued to grow, the warehouse team needed a more efficient way to organize, locate, and dispatch orders without slowing down fulfillment operations.
Integrated warehouse software with IoT-enabled pick-to-light hardware to streamline order picking and improve warehouse efficiency.
Challenges
Technical and operational challenges that needed to be solved to create a scalable and efficient warehouse picking automation system.
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A growing number of daily orders increased warehouse management complexity.
Orders were organized in bucket-based storage locations rather than traditional rack systems.
Warehouse staff spent valuable time manually searching for specific orders.
The manual picking process slowed down order fulfillment and dispatch operations.
Human error during order retrieval increased the risk of incorrect order selection.
The warehouse required a simple and intuitive solution that staff could adopt quickly.
Solutions
reverseBits built The Freshener as a connected warehouse picking automation system that links digital orders with physical pick-to-light workflows.
Warehouse order mapping
Developed a custom warehouse management system that maps customer orders directly to specific bucket storage locations.
Pick-to-light integration
Integrated the platform with Voodoo Robotics pick-to-light hardware to streamline warehouse picking operations.
Automated retrieval workflows
Created automated processes that trigger visual light indicators whenever an order is ready for retrieval.
Digital-to-physical tracking
Linked order management data directly to physical storage locations for accurate and efficient order identification.
Real-time hardware communication
Built real-time communication between warehouse orders and pick-to-light devices to ensure instant updates.
Simplified picking experience
Designed an intuitive visual workflow that enables warehouse staff to locate orders quickly and accurately.
Impact & Benefits
Reduced order retrieval time and minimized picking errors through clear visual guidance of storage locations. Improved warehouse productivity by eliminating manual searches, accelerated order handovers, and seamlessly connected physical warehouse operations with digital order management systems. Built a scalable foundation for future warehouse automation while avoiding costly warehouse redesigns.
Technology stack
Built with Python, MySQL, Amazon EC2, AWS, SQLAlchemy, Zapier, and Voodoo Robotics hardware to support warehouse automation, reliable order mapping, pick-to-light workflows, and operational integrations.
Python
MySQL
Amazon EC2
AWS
SQLAlchemy
Zapier
Voodoo RoboticsPythonMySQLAmazon EC2AWSSQLAlchemyZapierVoodoo RoboticsNext steps
Planned roadmap initiatives to grow and scale the platform further.
Warehouse order mapping
Developed a custom warehouse management system that maps customer orders directly to specific bucket storage locations.
Pick-to-light integration
Integrated the platform with Voodoo Robotics pick-to-light hardware to streamline warehouse picking operations.
Automated retrieval workflows
Created automated processes that trigger visual light indicators whenever an order is ready for retrieval.
Digital-to-physical tracking
Linked order management data directly to physical storage locations for accurate and efficient order identification.
