Work

Forecasts are only useful when they change a decision.

Explore an industry system, doctoral simulation and independently scored competition. Each case explains its decision, evidence and limits.

Doctoral simulation

2020 – 2024

Using forecast demand to improve delivery decisions

Doctoral research on attended home delivery for online grocery, where forecasts of orders still to come are used to decide which delivery slots to offer, what to charge for them and how to route the vans. Published in the European Journal of Operational Research and Annals of Operations Research.

Read the case study: Using forecast demand to improve delivery decisions →
Public competition

September – November 2025

VN2 Inventory Planning Challenge: 6th place

VN2 was the first public inventory-planning competition. Over six consecutive weekly rounds, participants placed orders for 599 product–store combinations with a two-week lead time, scored on holding and shortage cost. I finished sixth of 180+ participants; the organiser reports that only 25 entries beat his benchmark of a seasonally weighted moving average with a fixed stock target.

Unlike the industry work, the competition data and scoring are public, so the result is independent evidence that I can turn forecasts into ordering decisions under asymmetric holding and shortage costs.

Organiser's results announcement →
How to read the evidence
Industry system
Delivered KTP system; approximately 1,200 SKUs in the changing operating portfolio.
Retrospective evaluation
One February 2026 origin, 1,069 SKUs and H1–H6; comparison with an earlier development configuration.
Public competition
Independently scored public inventory-planning competition; 6th among 180+ participants.
Doctoral simulation
Computational experiments using real-world research data; no realised operational profit claim.
Independent development
Personal ForecastOps development; synthetic scale exercises and PostgreSQL staging, not enterprise deployment.

Interactive demo: Forecast → Inventory — an independent educational demonstration using synthetic data. It does not reproduce the Priory Direct production system. Explore demos →

Working on a forecasting or inventory problem?

I am open to data science and optimisation roles, research collaboration and, in time, independent projects. If the problems above look like yours, a short note is enough to start a conversation.

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