Data science. For people who don't run data science teams.
Scoped engagements that turn your operational data into forecasts, risk scores, and spend plans. The same data team that runs TIBRSupply's own inventory works your problem.
OCTG demand forecasting from rig schedules — Permian operator, 12 rigs.
- 78%Stockout precision at 2-week horizon
- $2.1MAvoided emergency air-freight (year 1)
- 5 weeksDiscovery to first production deploy
What we can build for you.
Demand forecasting
OCTG, valve, and consumable demand modeled from rig schedules, permit feeds, and frac calendars. 78% precision at two-week horizon.
Stockout risk scoring
Daily SKU-level score combining your usage history with our forecast. Flags risk before crews feel it.
Spend optimization
Identify the 80/20 of consumable spend, find the substitution opportunities, project the savings.
Supplier risk modeling
Quantify lead-time variance, single-source exposure, and country-of-origin risk across your supply base.
Carbon & ESG reporting
Pull mill-cert origin data and freight legs into the categorical Scope 3 footprint your sustainability team needs.
Inventory tier sizing
Right-size your safety stock with stochastic models calibrated to your actual lead-time variance, not generic textbook formulas.
Four phases. Fixed scope. Fixed price.
Scoping
Half-day workshop. We learn your data, your pain, and your buyers. Output: a one-pager with hypotheses and a budget.
Discovery
Two weeks. We pull your data, profile it, validate model approach. Output: a written assessment with recommendations.
Build
Four to eight weeks. Models built, tested, hardened. Output: production-ready scoring service or report pipeline.
Deliver
Hand-off. We train your team, document everything, and stick around for the first month of operation.