End-to-End Supply Chain Intelligence

Knowi connects natively to SAP HANA, Oracle, SQL Server, and other ERP databases without requiring data extraction. For cloud-based ERPs, Knowi's REST API integration pulls data directly from your system's API endpoints. You can have your first ERP-connected dashboard live in days, not months — no middleware, no staging tables, and no IT project required.

Yes. Knowi's cross-source join engine lets you blend data from your ERP, warehouse management system, transportation management system, and supplier portals in a single query. For example, you can join SAP purchase order data with WMS inventory levels and TMS shipment tracking in one dashboard — without loading everything into a data warehouse first. This works across both SQL and NoSQL data sources.

Knowi includes built-in machine learning models that you apply directly to your historical sales and supply chain data. The platform analyzes seasonality patterns, trend signals, and demand variability to generate forecasts by SKU, region, or channel. You can also blend in external data like market indices or weather APIs to improve accuracy. Forecasts update automatically as new data flows in, and you can set alerts when actual demand deviates significantly from predictions.

Knowi lets you build supplier scorecards that pull directly from your ERP and procurement system. Track metrics like average lead time, lead time variance, on-time delivery percentage, quality defect rates, and cost trends per supplier. You can rank suppliers by composite score, set automated alerts when a supplier's on-time rate drops below your threshold, and compare performance across categories and regions — all in a single dashboard.

Yes. Knowi connects to your TMS and carrier APIs to pull shipment tracking data into dashboards that refresh on configurable intervals down to seconds. You can monitor in-transit shipments, delivery exceptions, carrier performance, and estimated arrival times across all lanes. Threshold-based alerts via Slack, email, or webhook notify your logistics team when shipments are delayed or exceptions occur.

Knowi connects to your WMS and ERP to build inventory dashboards that show stock levels, days-of-supply, carrying costs, and reorder status across every warehouse and distribution center. You can compare inventory positions side by side, identify locations with excess stock or stockout risk, and set automated reorder alerts based on data-driven thresholds. Built-in ML models can also predict optimal safety stock levels based on demand variability and lead time patterns.

Tableau and Power BI require you to extract supply chain data into a warehouse or flat file before visualization. Knowi connects directly to your ERP, WMS, and TMS databases and joins them at query time — no ETL pipeline needed. This is critical for supply chain teams who need real-time inventory and shipment data, not day-old warehouse snapshots. Knowi also natively queries NoSQL databases and REST APIs, supports built-in ML for demand forecasting, and offers natural language search so operations managers can explore data without SQL.

No. Knowi queries your ERP, WMS, TMS, and supplier systems directly, then joins the results at query time. This eliminates the need to build and maintain a data warehouse for most supply chain analytics use cases. You avoid the cost, complexity, and data latency of ETL pipelines. If you already have a warehouse (Snowflake, BigQuery, Redshift), Knowi can connect to that too — but it is not a prerequisite.

Yes. Knowi's natural language search lets operations and supply chain managers type questions in plain English — like "show me warehouses with less than 10 days of supply" or "which suppliers had the highest defect rate last quarter" — and get instant visualizations. No SQL, no technical training required. For teams that do use SQL, Knowi also supports a full SQL editor with cross-source query capabilities.