Identify stock before it gets buried in daily work.
Record incoming material, quantities, locations, and workflow context so teams start from a reliable source of truth.
Useful for lumber, parts, apparel, supplies, and location-based stock.
Keep inventory, waste, and recovery visible from intake to donation.
FrameWatch is a material tracking and accountability system for teams that need to know what came in, where it went, what got used, what became waste, and what can still be recovered.
Built for prefab builders, contractors, field teams, and inventory-heavy shops that need a cleaner operating view than spreadsheets can provide.
01
Receive
Record incoming stock before it disappears into daily work.
02
Track
Move materials into jobs, buildings, locations, or stock areas.
03
Recover
Keep reusable material visible instead of losing it to the waste pile.
04
Donate
Prepare usable inventory for approved nonprofit pickup lanes.
05
Review
See where materials went, what was used, and what needs attention.
What FrameWatch Solves
A clearer operating view for material movement.
FrameWatch focuses on the points where visibility usually breaks: intake, stock movement, job usage, waste, recovery, and donation coordination.
See where materials move after they leave intake.
Track stock into buildings, jobs, production steps, field locations, or internal storage without relying on memory.
Reduces spreadsheet drift and unclear handoffs between teams.
Keep waste, salvage, and donation-ready items visible.
Separate unusable material from reusable stock, then prepare donation-ready inventory for the right partners.
Supports recovery without turning the product into a donation platform.
Workflow Modes
Different routes, one operating system.
FrameWatch can support different inventory models without feeling like separate products. Each mode keeps the same core logic: receive, move, use, recover, and review.
Buildings, checkout, waste, and reuse.
For prefab builders tracking material from inventory into building-specific usage, waste, and recovery.
- Route Model
- Inventory → Checkout → Building → Waste / Recovery
- Emphasis
- Expected vs. actual usage, warped stock, reusable scraps
Jobs, locations, and loss visibility.
For contractors and field teams moving materials across jobs, sites, crews, and storage locations.
- Route Model
- Inventory → Job Site → Location → Usage / Loss Review
- Emphasis
- Location visibility, job accountability, missing material signals
Stock locations, low-stock signals, and surplus.
For apparel or non-construction teams tracking receiving, stock locations, and donation-ready inventory.
- Route Model
- Receiving → Stock Location → Order Use → Donation Ready
- Emphasis
- Size/color visibility, low-stock awareness, organized surplus
Product Proof
Designed to feel like the tool, not a disconnected brochure.
The public page uses the same dark panels, cyan borders, compact labels, and operational language as the app so the first impression matches the product itself.
FrameWatch Operating View
Company Workspace
General Stock
4,412
Materials
7
Waste Logged
139
Recovery
27
Material
Location
Status
Qty
2x6 Lumber
Building B04
Assigned
84
Scrap Siding
Recovery Rack
Reusable
19
Damaged Stock
Review Queue
Check
7
Donation Batch
Pickup Ready
Partner
12
Trust & Control
Structured tracking without pretending every team works the same way.
FrameWatch keeps the workspace company-scoped and practical. Operators get inventory, usage, and recovery visibility without turning the system into a bloated enterprise tool.
Company-scoped context
Keep inventory and workflows organized by the business using the system.
Less spreadsheet drift
Reduce the gap between what the sheet says and what happened in the field.
Reusable material stays visible
Separate waste from usable stock before recovery opportunities disappear.
Donation pickup lane
Prepare approved donation-ready inventory for nonprofit coordination.
Beta test FrameWatch against real material movement.
Use the product with your actual inventory, jobs, locations, waste, and recovery workflow so FrameWatch can be refined around real operations.