Computer Parts Search System “Qubit”
An auto parts commerce system supporting parts dealers of various scales from parts dealers with a single sales office to parts dealers with over ten sales offices.
Qubit is a system supporting various types of sales activities since it supports parts dealers not just having in-site parts warehouses but having central warehouses.
Main Operations
Sales
– We systemize operations necessary for parts dealers, such as UOE parts searches, orders, quotations, order receipts, sales, returns, and discounts.
– Our customers effectively utilize transaction data to promote business, such as direct linking from estimates to sales, and linking returns from sales.
Purchase
– Enabling placing UOE orders or fax orders to automobile manufacturers and suppliers for selling parts or periodic inventory replenishment
– Enabling appropriate inventory management because sales returns and inventory are linked, such as inventory withdrawal at the time of sales and inventory shelving at the time of return
– Regularly carrying out of appropriate inventory by managing inventory order points
Customer Management
– Enabling customer sales management to be centrally carried out based on customer electronic ledgers
Accounting
– Enabling management of accounts receivable on a closing date basis and collection date basis for customer billing operations, payment management, etc.
– Enabling management of accounts payable based on billing data from suppliers
– Enabling automatic creation of journal data from Qubit data such as sales and accounts payable by linking with accounting software such as PCA accounting
Advantages of Introducing Qubit
Familiar with Parts Dealer Business
– The system being developed by parts dealers, Qubit is developed based on a thorough knowledge of their business and many years of experience in system development
– Fully equipped with functions to smoothly complete the transaction flow, such as billing processing, payment processing, collection schedule, and collection functions
Parts Search by UOE
– Parts Ordering: For genuine and excellent UOE, UOE-related information will be centrally located on the server set up at Qubit Center, enabling search for necessary parts, check inventory, and parts ordering.
System Available at Low Cost
Qubit system is provided as a low-cost system for use by parts dealers.
Inventory Management Method Using Artificial Intelligence Software
About Inventory Management Method Using Artificial Intelligence Software [DriverlessAI Manufactured by H2O]
System Objectives
Predicting inventory demand and optimizing inventory using artificial intelligence (DriverlessAI by H2O).
Automatically placing order processing for inventory items, which was previously carried out manually, with the supplier, based on the quantity calculated from the demand prediction, and reducing the burden on humans.
Utilization of Artificial Intelligence
Demand Prediction
AI analyzes past sales data and customer trends to predict future demand.
This enables flexible response to demand fluctuations and appropriate adjustment of inventory.
Automatic Ordering
Based on demand prediction, the inventory management system uses RPA to automatically process orders with suppliers.
Inventory Optimization
AI continuously monitors inventory levels and sales data to identify optimal levels of inventory.
This minimizes inventory costs.
Simple flow
Details
① Regular Operations
Register and read various data entered in Qubit.
② Obtaining Shipping Records
Obtain shipping records of Qubit and perform inventory prediction on artificial intelligence server.
③ Registering Prediction Results
Register prediction results calculated by DriverlessAI.
④ Automatic Ordering of Inventory Items
Based on prediction results calculated by DriverlessAI, automatically place orders using RPA
⑤ Obtaining Order Results
Obtain order results from suppliers.
⑥ Registering Order Results
Register obtained order results.
⑦ View Order Results and Register Inventory
View automatically ordered data, and manually perform reception processing after inspection.