powered by RightChain.ai
Partition Distinct Types of Customers, SKUs, Orders, and Lanes
A, B, C, D and F Classifications of Customers, SKUs, Orders, Suppliers, Carriers and Lanes
Multi-criteria Stratification of Orders, Customers, Shipments, SKUs, and Lanes
IDs Anomaly Orders, Customers, Products, and Patterns
AI-based forecasting and predictions.
IDs Supply Chains within the Supply Chain
IDs Correlated Products and Patterns
Maps Supply Chain Activity to Country, State, City, and Postal Code
RightChain Insights Overview
RightChain Insights provides deep actionable analytics on supply chain activity data including sales order activity, purchase order activity, transport order activity, warehouse order activity, shipping manifests, airway bills, and inventory records. The analytics include Paretos, Stratifications, Partitions, Outliers, Predictions, Correlations, Activity Networks, and Activity Maps.
Supply Chain Activity Paretos
Supply Chain Activity Paretos rank and compute the number and portion of products, SKUs, categories, customers, carriers and suppliers that comprise the first 50% (A's), next 30% (B's), next 15% (C's), and last 5% (D's) of orders, lines, units, pallets, cartons, cube, weight, dollars, mistakes, and inventory.
Supply Chain Partitions
Supply Chain Partitions identifies statistically significant activity cells within supply chain activity based upon user specified criteria including SKUs, categories, suppliers, channels, customers, carriers, geographies, and ABC strata.
Supply Chain Outliers
Supply Chain Outliers identifies supply chain data points (e.g. SKUs, products, customers, locations, carriers, lanes or commodities with unusual activity and activity ratios) that are statistically far enough removed from the remainder of their data family that they are considered outliers or anomalies. Those points may or may not be removed from their data family for on-going analytics.
Supply Chain Predictions
Supply Chain Predictions forecasts future supply chain activity in orders, lines, units, cases, pallets, cube and weight at the daily, weekly, monthly, quarterly, and annual level.
Supply Chain Correlations
Supply Chain Correlations identifies the degree to which key units of measure (units, cube, weight, and currency) and supply chain entities (SKUs, products, customers, commodities, geographies, channels, etc.) are correlated with one another.
Supply Chain Sub Networks
Supply Chain Networks identifies supply chains within the supply chain that merit consideration for bespoke service, inventory, transportation and warehousing designs.
Supply Chain Maps
Supply Chain Maps geographically illustrates supply chain activity (orders, lines, units, cases, pallets, cube and weight) by ship to/from address, city, state, country and region for user selected business units, divisions, product categories, commodities, modes, carriers, and ship dates.