VS Warehouse
Web App
Project Summary
VS Warehouse is a production management system designed to optimize and streamline the operations within a warehouse setting.
This system provides tools for managing the entire production line, from raw materials to finished products, ensuring that all processes are efficient, organized, and trackable.
The system includes features such as real-time inventory tracking, automated order processing, and production scheduling.
It allows warehouse managers to monitor the flow of goods through every stage of the production line, ensuring that resources are used efficiently and that production timelines are met.
VS Warehouse also integrates with other business systems, providing communication between production, inventory management, and order fulfillment.
With its dashboard, VS Warehouse enables users to oversee multiple aspects of warehouse operations, including resource allocation, workforce management, and quality control.
The system's analytics and reporting tools provide insights into production performance, helping managers make data-driven decisions to improve efficiency and reduce costs.
Overall, VS Warehouse is a tool for any business looking to enhance their warehouse operations, offering a complete solution for managing the production line from start to finish.
Case Study
Overview
Built a production management platform to track inventory, schedule production, and monitor the full warehouse flow from raw materials to finished goods.
Problem
Operations relied on spreadsheets and disconnected systems, leading to stock mismatches, delayed schedules, and poor visibility into production performance.
Solution
A warehouse management web app that unifies inventory, production scheduling, order processing, and operational reporting with role-based dashboards.
Goals
- 1Improve inventory accuracy to 97–99%.
- 2Reduce order processing time by 30–40%.
- 3Maintain schedule adherence above 90%.
- 4Provide real-time visibility into production stages and bottlenecks.
- 5Integrate with upstream inventory and downstream fulfillment systems.
Approach
- Used a Rails-based system for rapid delivery of production, inventory, and scheduling modules.
- Leveraged Sidekiq for background processing of order flows and automated scheduling.
- Added Elasticsearch for fast search and traceability across items, batches, and work orders.
- Focused reporting on operational KPIs instead of heavy BI tooling to keep insights immediate.
Results & Impact
Outcomes
- Reduced manual coordination and improved visibility across the production line.
- Lowered stock discrepancies and improved on-time order completion.
- Enabled faster decision-making through live dashboards and KPI reporting.
Key Metrics
Timeline
Workflow design and KPIs.
Inventory, scheduling, orders.
Upstream + fulfillment systems.
Dashboards and training.
Challenges
- Aligning data models across production, inventory, and fulfillment.
- Keeping scheduling accurate under last-minute changes.
- Driving adoption for teams moving from spreadsheets.
Project Info
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