Supply Chain Management

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Providing real-time visibility and analytics on inventory levels and costs and automates inventory management processes, such as planning, purchasing, and tracking.

It helps a business better align inventory levels with the production demand, optimise inventory carrying costs, and mitigate internal and external inventory-related risks.

System integrations for Inventory Management Solution

Integrating inventory solution with other enterprise systems helps boost company-wide operational efficiency (no manual data entry efforts, immediate information delivery), avoid errors (e.g., accounting discrepancies, lost orders) and functionality duplication


Inventory Control

Inventory tracking and real-time updates (based on barcode or RFID scanning).
Automatic reorder points calculation.
Bill of Materials (BOM) creation and management (for discrete manufacturing).
Inventory transfer request management (for multi-location optimization of inventory levels).
Inventory valuation (based on FIFO, LIFO, or other methods).

Reporting and analytics

On-hand/low-stock inventory report.
Inventory turnover report.
Day’s sales of inventory (DSI) report.
Inventory discrepancy report.
Average days to sell report.
Aged inventory reports.
Customizable dashboards.
Alert’s configuration (e.g., for low-level inventory, shipment delays, prompts for cycle counting).

Supplier and purchase order management

Supplier assignment to an order and transaction/delivery history.
Purchase order creation and approval, status tracking, history overview.
Automatic inventory replenishment orders (triggered by reorder points).

Item management

Inventory items cataloguing
Inventory kitting (for retail & wholesale industry).
Filtered item search (by SKU name and description, expiration date, etc.).

Customer order management

Sales order creation and status tracking.
Automated invoice generation and approval.
Automated package slips generation.

Inventory database management

User permission configuration.
User activity logs.
Automated and manual inventory data upload.
Bulk inventory data processing (e.g., data import/export).
Inventory data backup, versioning, and recovery.

Advanced AI-driven analytics

Inventory optimization (calculating optimal inventory levels based on multiple factors, from sales data to weather conditions).
Demand forecasting.
Lead time forecasting (using historical data to predict lead times by items and calculating an optimal safety stock based on it).

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