Priory Park Cricket Club
Cricket
- CaptainLeague team
- TreasurerClub
- Most Improved Player2026
Leading a team, looking after the club’s money and improving season on season are the same habits I bring to supply chain work.
I find the cheaper, smarter way to move things.
Supply Chain Analyst in London. Work runs along the top lane, learning and credentials along the bottom. Hover or tap any bar or badge.
WorkStudy○ Credential or publication
Work
Ten projects across three companies. Hover or tap a project for the problem, action and result. Skills link back to the projects where I used them.
Impact
Select a row to focus on it, or filter by what has been delivered versus what is projected.
DeliveredProjected or in progress
Automation
Two process projects: a workflow I automated, and the model behind a freight cost comparison.
Expedited inbound air freight: one request process, shown as the process map and as the Power Automate flow built from it.
5 mintrigger check interval
3Microsoft connectors: SharePoint, Approvals, email
2approval routes
Data entryEmail notificationInternal logistics communicationApproval request
Hover or tap a step to trace it on the map.
1Buyer logs the request on the Inbound Airfreight Request List.
2The request goes to the Production Buying Manager for approval.
3On approval, the Logistics Assistant is notified and asks Forwarders 1 to 4 for quotes.
4Quotes are logged in the Quote Log and the Head of Logistics approves one.
5The approved forwarder and cost are recorded, the booking is confirmed and labels are printed where needed.
6The buyer is notified by email.
Request details passed through the flow
Add outcomes for this project, for example time saved per request, requests handled or errors avoided.
How the freight-versus-parcel savings were calculated: the same bike volumes priced as UPS parcels and as palletised freight, then compared.
1,351bikes compared in the freight study
42.6%lower than the modelled UPS cost
64.7%potential saving on priority customers
Excel modellingPivot tablesCost-to-serve analysis
Result
Estimated UPS parcels
£42,188.66
Palletised freight
£24,216.87
Net freight advantage £17,971.79, about 42.6% less than the modelled UPS alternative.
Result
Estimated UPS parcels
£39,870.50
Palletised freight
£14,071.30
Potential saving £25,799.20 (64.7%) across the ranked priority customers.
Copilot did the heavy calculation, retrospectively on past EU orders and as a forecast for expected ones. The method, the checks and the final call stayed with me.
Copilot
- Worked out pallets needed for each customer order
- Applied the bikes-per-pallet and round-up rules
- Ran the same logic on past orders and on expected orders
- Summarised patterns across customers
Me
- Defined the method and which data to use
- Grounded every prompt in the workbook data
- Checked the outputs against the source
- Decided what to report, and how to label it
Read this as a model
- These are modelled cost advantages, not proof of realised savings.
- The two cases are separate comparisons, so their savings should not be added together.
- UPS matching for the priority customers covers 76.3% of ranked bikes, so some estimates extend from partial coverage.
Skills
Each skill is linked to the projects where I used it. Hover or tap a skill or a project to trace the connections.
Beyond work
Outside work I play and help run cricket. Layout draft: details and photos to be added.
Add season stats or a short story, for example matches, runs, wickets or a favourite moment.
Add another activity, such as volunteering, mentoring or a community role.
Let’s talk
Open to conversations about supply chain analytics, logistics optimisation and process improvement.
pawarkrishna551@gmail.com