Data & analytics
Pipelines and stores for clean, queryable supply chain data.
- PostgreSQL
- Kafka
- Python / Pandas
Baaz builds digital supply chain platforms with real-time visibility, demand forecasting, and inventory intelligence-connecting procurement, logistics, and fulfilment on one system.
We connect fragmented supply chain data into one operational view-so teams can see disruptions early, forecast demand accurately, and respond before delays reach the customer.
Data, modeling, and integration tools we use to build supply chain platforms that stay accurate and connected at scale.
Pipelines and stores for clean, queryable supply chain data.
Models for demand, replenishment, and anomaly detection.
Connectors to ERP, WMS, and logistics partner systems.
We map data sources, systems, and bottlenecks across procurement, inventory, and logistics.
We design the data model, visibility dashboards, and forecasting approach tailored to your operations.
We implement the platform and connect ERP, WMS, and partner systems into a single source of truth.
We monitor forecast accuracy and service levels, tuning the system to cut cost and disruption.
We turn scattered supply chain data into decisions-real-time visibility, trustworthy forecasts, and integrations that connect every link in the chain.
Control-tower dashboards that surface disruptions early across procurement, inventory, and logistics.
Demand and inventory models validated against your data-built into operations, not a one-off report.
Integrations across ERP, WMS, and partner APIs so the chain runs on one consistent data layer.
Control towers and dashboards that give real-time status across the end-to-end chain.
ML-driven demand and replenishment forecasting to reduce stockouts and overstock.
Optimize stock placement, picking, and fulfilment workflows for speed and cost.
Integrate carriers, suppliers, and ERP systems for coordinated, low-friction operations.
A digital supply chain connects procurement, inventory, logistics, and fulfilment data into one real-time system. Instead of disconnected spreadsheets and siloed tools, teams get a single operational view to forecast demand, spot disruptions, and respond quickly.
We typically work alongside your existing ERP and WMS, integrating them into a unified visibility and forecasting layer. We replace systems only when they are a genuine bottleneck-most value comes from connecting what you already run.
Accuracy depends on data quality and history, but ML-based forecasting usually outperforms manual or simple statistical methods meaningfully. We validate models against your historical data and report accuracy honestly before putting them into operations.
Yes. We build control-tower dashboards that pull live status from your systems and partners, so disruptions surface early enough to act on rather than after they reach the customer.
We work across manufacturing, retail and eCommerce, transportation, and logistics. The platform and models are tailored to your specific flows, partners, and constraints rather than a generic template.
Ready to scope this stack? Brief the Baaz squad or browse more services.