Expertise
Decisions need pipelines.
Anyone can collect market data. The hard part is refining a torrent of noisy, conflicting signals into a number a procurement team can act on — every day, at SKU level, with a confidence figure attached.
From noise to numbers
How the pipeline refines a signal.
Ingest
Distributor pricing, quoting behaviour, stock movements, fab-utilisation indicators, freight anomalies, and lifecycle notices — normalised into one structured stream.
Weight & model
Each source scored for historical reliability; price-trajectory, lead-time, and allocation-risk models retrained on rolling windows and benchmarked weekly against reality.
Deliver
Forecasts land as named risks on named part numbers, with an analyst's verdict attached — buy, hold, hedge, or redesign.
Applied analytics
Where the models earn their keep.
Shortage prediction
Allocation-risk classifiers trained on the quoting patterns and inventory drawdowns that historically precede a squeeze — typically surfacing risk weeks before consensus.
Demand-aware planning
Integrate your consumption and forecast data, and the models plan buffers and buy timing against your demand — not a generic market average.
BOM risk scoring
Every line item scored for sourcing risk, lifecycle runway, and price exposure — turning a parts list into a ranked work queue.
Obsolescence tracking
Discontinued and dwindling parts tracked against open-market depth, so 'unobtainable' becomes a measured date rather than a surprise.
Honest models
Scored against reality, every week.
A forecast that is never audited is an opinion with charts. Every model we run is benchmarked weekly against what the market actually did, and its published accuracy — like our 92% twelve-week lead-time figure — is a measured output, not a marketing claim.
When a model underperforms, it is retrained or retired. Nothing survives in production on reputation.
Built in Dubai
Engineered in-house, with a production mindset.
The pipeline is engineered in-house at our Dubai headquarters — data engineering, model development, and the tooling our analysts use daily — and operated for clients worldwide.
Research that never ships is a hobby. Everything the lab builds is in production service within the engagements it was built for.