Supply Chain Optimisation

Data‑driven inventory planning, VMI and resilience strategies that shorten lead times, reduce stockouts and stabilise project schedules.

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Overview

What we do: demand forecasting, inventory modelling, VMI/consignment pilots, reorder automation and resilience planning to protect critical path delivery.

Why it matters

Reduce stockouts and emergency orders through predictive replenishment and VMI.
Lower carrying costs by right‑sizing buffers and using consignment where appropriate.
Improve schedule certainty with integrated demand and logistics planning.

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Approach & practical steps

Baseline & spend analysis — map critical SKUs and lead times.
Forecast & segmentation — statistical demand models and ABC/XYZ segmentation. Evidence shows improved accuracy with advanced forecasting and AI tools.
Pilot VMI/consignment — run a controlled pilot on high‑impact SKUs to prove ROI.
Scale & automate — integrate reorder rules, dashboards and supplier SLAs for continuous improvement.

Risks, trade‑offs & mitigations

Over‑automation risk: poor data yields bad orders — mitigate with phased pilots and human oversight.
Supplier capacity constraints: dual‑sourcing and safety stock for critical items.
Change management: align finance, operations and suppliers early to adopt VMI models.

Expected outcomes

Lower stockouts

Predictive replenishment and VMI reduce emergency orders.

Reduced carrying cost

Optimised buffers and consignment free up working capital.

Faster response

Dashboards and reorder automation shorten lead times.

Next steps

Book a scoping call — Contact.
Run a 6–12 week VMI pilot on 10–20 SKUs — Request a Quote.