Business Challenges

High cost (low human efficiency ratio: difficult to collaborate with upstream and downstream operations, lack of process operation leads to high labor cost)

Poor inventory turnover: multiple warehouses cannot be managed in the same frequency, and it is difficult to grasp in-stock and in-transit sku, resulting in a low inventory turnover rate.

(Difficult data analysis: order, advertising and financial data cannot be accurately analyzed, making it difficult to complete efficient business digital transformation)

Growth is difficult (platform expansion is difficult: multi-platform four expansion barriers exist, can not be based on a unified operating end efficient response and interception of loss risk orders)

Gross profit can not be controlled: lack of analysis of the target and sku based on real-time performance data Kanban, the implementation process is difficult to control the gross margin

(Poor advertising effect: high cost of advertising, poor results, lack of real-time monitoring around the target and effective intelligent optimization means)

Product Value

1、Automatic processing of multi-platform orders, intercepting loss orders to improve operational efficiency by 60%

2、Match the most appropriate shipping channels, saving logistics costs by more than 20%

3、Practical wipe rush delivery, packaging delivery time, improve store performance

Multi-warehouse management

1、Integrated management of ERP+OWMS to improve the efficiency of multi-warehouse receiving and shipping

2、Standardized management of warehouse logistics process, optimize the picking path, improve the efficiency and accuracy of delivery

3、Docking warehouse automation equipment, shipping speed up to 1000 + pieces / hour

Stocking hedge

1、Dynamic centralized detection of inventory data at each node of the world to prevent inventory backlog and improve inventory turnover

2、Use procurement advice, reasonable stocking to reduce the rate of stock out, breaking the communication barriers between operations, procurement and warehouse departments

3、Multi-dimensional competitive inventory data reference, based on refined historical data analysis to assist in developing stocking plans

Financial Accuracy

1、The source of business data can be traced, financial data clear docking, to achieve the integration of the whole process of business finance

2、Automated financial reconciliation data processing, automatic acquisition/automatic reconciliation/automatic data analysis/automatic accounting, earlier accounting, extremely fast to assist business operation analysis

3、Multi-dimensional calculation of gross profit, support the calculation of gross profit by product, order, employee, store and platform as dimensions, support the import of expenses, accounting for net profit

Operational efficiency

1、Core platform refinement operations, reduce operational operations and management difficulties

2、Multi-dimensional data automatically aggregated, providing Asin sales Kanban, to operational data-driven rapid adjustment of decision-making

3、Built-in operational risk control model, system abnormalities, real-time categorization, listing full lifecycle supervision

4、Standardized data management process, to guard the business privacy and sensitive data