Under 2 min
Average shipment processing time
Down from about 15 minutes, including exceptions that still needed review.
Project results
Real project outcomes, the work behind them, and the assumptions behind every estimate.
Anonymous case study · Logistics
A 45-person logistics coordination team was processing 200–300 shipment notices a day by hand. Every notice meant checking a purchase order, updating the warehouse system, messaging the dock, updating a spreadsheet, and replying to the vendor.
Down from about 15 minutes, including exceptions that still needed review.
Across shipment intake, approvals, weekly reporting, and vendor follow-ups.
Automating the repetitive inputs removed the largest source of mistakes.
Intake automation first, then approvals, reporting, and follow-ups.
I built a Power Automate intake flow that read shipment emails, extracted the key data, and matched it against open purchase orders. Clean matches moved through the warehouse system without manual entry.
Exceptions arrived with the relevant context already loaded. Managers approved or rejected them from a Teams card, weekly reports generated automatically, and missing vendor information triggered its own follow-up.
The estimate behind the headline
The published estimate multiplies 2,000 reclaimed hours by a $45 loaded hourly labour cost. The three-phase project cost under $85,000.
This is a project estimate, not a guaranteed cash saving. Actual value depends on labour costs, volumes, adoption, and how reclaimed time is used.
Read the full case study →Good automation does not need a massive transformation program to make a difference.
Measured outcome · Oilfield services
A routed Power Automate flow sent each request to the right approver and escalated stalled requests. Average approval time fell from 3.2 days to about six hours.
See the documented workflow →Repeatable workflow · Timesheets
A scheduled flow checks for missing submissions, reminds employees in Teams, and alerts supervisors only when a timesheet is still outstanding. The routine follow-up runs automatically, while true exceptions still reach a person.
See how the flow works →Client names are withheld to protect confidentiality. These outcomes describe specific projects and workflows; they are not promises that every project will produce the same result.
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