Predictive Analytics Capabilities That Power Every Decision
Demand Forecasting & Planning
LSTM and ARIMA-based time-series forecasting models trained on 3+ years of consumption history, seasonal cycles, and market signals — generating category-level 13-week rolling demand forecasts with 95%+ accuracy to drive precise procurement planning.
Price Prediction Models
ML models that analyse historical pricing data, market commodity indices, supplier cost structures, exchange rates, and seasonal patterns — predicting price fluctuations 4–8 weeks ahead to help procurement teams time purchasing decisions and lock in favourable rates.
Supplier Recommendation AI
Collaborative filtering and content-based ML algorithms that analyse historical supplier performance, category expertise, pricing competitiveness, delivery reliability, and risk profile — recommending the optimal vendor for every requisition automatically.
Anomaly Detection & Alerting
Unsupervised and supervised ML anomaly detection across procurement transactions, vendor behaviour, and operational metrics — identifying spend spikes, delivery pattern deviations, data quality issues, and fraud signals in real time with 97% recall accuracy.
Data Visualisation Dashboards
Interactive, drill-down analytics dashboards built on Power BI, Tableau, and custom React-based BI components — presenting forecast outputs, trend overlays, scenario simulations, and anomaly summaries in clear, executive-ready visual formats.
Statistical Modelling & Simulation
Monte Carlo simulation, regression analysis, cluster modelling, and scenario planning tools — enabling procurement and finance teams to model risk distributions, evaluate strategy options, and understand confidence intervals before committing to major decisions.