03 · Outdoor-gear manufacturing · Production floor
Application Design for HammockGear Production System
Project lead · System architecture · UI/UX · 9 months
A custom-built operations platform transforming order tracking, inventory, and employee productivity at HammockGear.
8
Scope items, all marked done
3
Workstation UIs: Down · Shipping · QC
4
Stakeholder groups served

- Duration9 months
- RoleProject Lead, System Architecture, UI/UX, Full-stack Development
- Published on
🧩 Project Summary
We built a custom internal toolset for HammockGear, a manufacturer of high-end outdoor gear. The goal: eliminate paper-based workflows and boost transparency across production, order fulfillment, inventory, and issue resolution.
This system ties together:
- Production task assignment by workstation
- Order and stock visibility
- Barcode-driven item tracking
- Problem detection and accountability assignment
- Data filtering and reporting for operational analysis
🔍 Key Functional Areas
📦 Order & Inventory Management
- Order List: Pulled from BigCommerce with sorting, rush prioritization, status indicators, and refund tools.
- Detailed Order Pages: Staff can update items, adjust shipping dates, apply refunds, and add/edit instructions.
- Stock Items: Editable stock entries, barcode printing, template-based stock generation.
🏭 Production Workflow
- Employee Station Views: Each employee logs in via badge and PIN, views their assigned queue, and scans items to begin work.
- Rush Highlighting: Red status indicators on both order and task queues.
- Workstation-specific Layouts: Adapted UIs for Down, Shipping, and QC.
🛠️ Problem Resolution
- Central resolution page assigns fault across employees.
- Tracks resolution notes, percentages of responsibility, and restocking status.
- Tied into live problem detection from workstation UI.
🗺️ Warehouse Map
- Live heatmap of employee activity.
- Shows active stations, idle states, and items in progress.
- Clickable drilldowns for issues or job details.
📊 Reporting Tools
- AI-powered chatbot: Replaces manual filters with a natural-language assistant that converts user prompts into SQL queries.
- Context-aware conversation: Users can ask follow-up questions without restating context — the bot keeps track of the conversation thread.
- Instant analysis: The assistant runs the query, summarizes key insights, and returns both the data and an interpretation.
- No filter-building UI: The previous filter builder was retired in favor of a faster, chat-based interface.
📷 Screenshots
App Dashboard
Order Management View
AI Report Generation
Problem Resolution👥 Stakeholders
- Production Team: Full item visibility and task flow per station
- Managers: Live dashboards, employee performance, reporting tools, and problem resolution
- Shipping Dept.: Order validation and item locations and packing workflows
- Admins: Configuration, auditing, cost analysis, and change requests
✅ Completed Scope
| Feature | Status |
|---|---|
| Employee login w/ PIN + badge | ✅ Done |
| Order pull from BigCommerce | ✅ Done |
| Barcode-driven item scan | ✅ Done |
| Rush order visibility | ✅ Done |
| Problem resolution flow | ✅ Done |
| R̶e̶p̶o̶r̶t̶i̶n̶g̶ f̶i̶l̶t̶e̶r̶ b̶u̶i̶l̶d̶e̶r̶ -> New AI driven report generation tool | ✅ Done |
| Stock items and refunding | ✅ Done |
| Multi-station UIs | ✅ Done |
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