ERP systems play a vital role in improving enterprise work efficiency, helping enterprises simplify work processes and automate data processing.
So what substantial benefits can ERP systems bring to e-commerce companies?
What is e-commerce ERP?
E-commerce ERP records the entire e-commerce process of buyers from purchasing, ordering, shipping, confirming receipt, to corporate inventory, procurement, logistics, finance, membership, customer repurchase, etc. By opening up e-commerce platform data and corporate purchase, sales, and inventory data. This makes the entire enterprise management more transparent and easier; the data is also clearer and more systematic.
What is the difference between e-commerce ERP and ordinary general ERP systems?
Ordinary ERP systems are used extensively, and the functions they cover are more focused on overall enterprise resource planning; but e-commerce ERP systems are more focused on interactions between customers, orders, and inventory. Moreover, e-commerce ERP needs to connect to the API interfaces of many platforms to integrate, classify, and manage data by retrieving e-commerce platform data. However, general ERP systems tend to set goals or tasks internally, and assign and complete them within the enterprise.
E-commerce ERP system functional modules:
1. Order management
Order screening and batch processing, dual review mechanism combining customer review and financial review, automatically adding gifts according to set rules, modifying order details, modifying order logistics and address details, querying order operation traces, automatically allocating orders to warehouses according to set rules , Order reminder.
2. Warehouse management
Commodity entry and exit management, inventory management, inventory management, warehousing and storage area management, warehousing customer service performance statistics, automatic electronic weighing of packages, automatic calculation of logistics costs, and intelligent matching of express delivery.
3.Financial Management
Capital flow, profit cost accounting, accounts receivable and payable, express delivery cost statistics and reconciliation, daily (monthly) sales reports, purchase, sales and inventory reports, merchandise sales statistics, store sales statistics, merchandise to be shipped statistics, warehouse outbound statistics…
4. Procurement management
Equipped with a standard purchase list, purchase order application, purchase receipt, purchase return process, purchase statistics…
5.After-sales management
The system provides a complete after-sales process: from receiving after-sales requests from customers, submitting after-sales applications, to after-sales personnel performing after-sales processing, including returns, exchanges and refunds, etc., and can count various reasons.
6. Report statistics
Daily summary of incoming and outgoing warehouses, details of incoming and outgoing warehouses, sales statistics, and order management.
Why use e-commerce ERP?
In fact, e-commerce ERP has several major benefits.
1. When recording data such as orders, inventory, purchase and sales materials, customer information registration, logistics information, etc., through machine call or recording, the data will be more reliable; it effectively reduces manual input errors and saves manual input time.
2. Inventory synchronization, there is no need to manually synchronize inventory status, customers and employees know the inventory status in real time.
3. Customers and internal personnel can effectively track order status and detect logistics conditions.
4. Simplify the management of inventory, price, and product changes; and provide effective reminders for inventory problems (such as out-of-stock).
5. Quickly update data on multiple platforms and reduce operating costs by connecting data.
6. Multi-platform, multi-store and multi-warehouse management and reconciliation to solve problems such as mis-delivery, missed delivery, returns and exchanges caused by a large number of products.
7. Effective data analysis. Through multi-platform data integration and system classification, big data analysis can be effectively performed to analyze and push customer preferences.
