For Wefillspace — warehouse particulars workflow
Warehouse brochures into a searchable database — in 60 seconds.
Stop re-typing capacity, clear height, dock doors and EPC from every PDF. Snap. Extract. Search. The whole flow runs on a phone.
3 sample warehouse particulars → 3 records · capacity, height, loading, yard, EPC, price, availability
Today
- Email arrives with 8 warehouse PDFs
- Open each one, scroll, hunt for clear height
- Copy & paste into a spreadsheet
- 30–60 minutes per shortlist · errors creep in
- No way to search ">10m clear, >500 pallets, M25"
With SnapToBase
- Snap each particulars page on your phone
- Tap Process — every field extracted
- Review & correct in one screen
- ~60 seconds for an 8-warehouse shortlist
- Search "self-contained >10m M25" instantly
From a single warehouse particulars PDF
Every field your team actually shortlists on.
Location
Total area
Pallet capacity
Clear height
Dock doors
Level-access doors
Yard depth
Power (kVA)
Temperature controlled
Forklift available
EPC rating
Tenure
Asking price / rent
Availability
Title / name
Source page
01
Snap
Phone camera on the brochure. Up to 50 pages per batch.
02
Extract
Each page becomes one warehouse record with attributes.
03
Review
Confidence scores, duplicate merge, missing-field hints.
04
Search
Across every batch you've ever processed.
~60s
per warehouse
vs 5–10 minutes manual
0
copy-paste
phone-only workflow
1×
searchable database
grows with every batch
See it on real particulars.
The demo runs on 3 real-looking warehouse brochures. End-to-end, on this device, in about a minute.
Built around Wefillspace's particulars workflow · happy to tailor fields