Patterns we see, distilled into three stories.
Each of these is composite — a recurring pattern we see across operators rather than a single named yard. The mechanics, the numbers, and the order of events are real; the cast is anonymised until we publish signed reference customers.
Illustrative. These are composite cases drawn from real operator patterns — they are not attributed to a specific named customer. We'll publish signed reference studies as customers agree to be named.
Illustrative
Cutting scale-ticket time from eight minutes to under thirty seconds
A 4-yard ferrous operator moves from paper carbon-copies to digital tickets and finds three extra hours of scale-line capacity every shift.
Multi-yard ferrous operator · 4 scale lines · ~120 tickets/day/yard
Illustrative
Moving 38% more material with the same fleet
A mid-size non-ferrous operator stops running dispatch on spreadsheets, gives drivers a real app, and starts getting an extra route in before sundown.
Non-ferrous brokerage + processing · 14 trucks, 22 drivers
Illustrative
Closing cross-yard deals four times faster on the Marketplace
A regional broker stops chasing trades over email and starts moving surplus inventory through the Scraplytics network — with the paperwork generating itself.
Regional non-ferrous broker · trades with ~30 yards across two countries
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