On July 27, Yonyou released YonGPT, the industry's first large-scale enterprise service model. Its release marks that China's enterprise software innovation has entered a new stage centered on artificial intelligence.
At present, YonGPT has innovatively developed dozens of solutions including business insights, smart order generation, supplier risk control, dynamic inventory optimization, smart talent discovery, smart recruitment, smart budget analysis, smart business travel cost control, code generation, etc. Based on the first batch of intelligent scene services empowered by the enterprise service model, iterative training will continue in the later stage to continuously enrich enterprise service scenarios, so that digital intelligence can succeed in more enterprises and public organizations in China and around the world.
Today, let's take a look at the smart order generation based on YonGPT, which integrates rich supply chain experience and realizes fast and intelligent order generation through the "interactive and innovative" order generation assistant to improve enterprise efficiency.
In today's increasingly competitive business environment, companies need to seek innovative sales methods to improve sales efficiency and customer satisfaction. YonGPT, a large model of UFIDA's enterprise services, introduces a brand-new production method of sales orders - generating "orders" while "chatting". This method brings great convenience and efficiency improvement to the sales team of the enterprise.
The previous sales order process usually required the salesman to communicate with the customer tediously and fill in various order request forms (RFQ), and then the sales office or the salesman manually extracted key information and generated the order. This process is time-consuming and error-prone, consuming a lot of effort and resources.
Smart billing is based on the industry's first enterprise service model - one of dozens of intelligent applications empowered by YonGPT . It combines Yonyou's 35 years of experience in the enterprise service field, leading enterprise application software products with rich scenarios, The advantages of the enterprise customer base, based on the dialogue between the salesperson and the customer in the friendly space, collect information, extract summaries, automatically create sales orders, query existing and available quantities, answer delivery dates, place orders and submit, which greatly simplifies the generation of sales orders process.
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A large model that integrates supply chain experience:
YonGPT, a large model of UFIDA enterprise service, can use the learning and summarization capabilities of the large model to help enterprises combine complex and scattered original customer needs with intelligent data services to quickly and intelligently generate orders and improve enterprise efficiency.
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"Interactive and innovative" generation order assistant:
Expand business scenarios and enrich demand sources. In addition to Youspace, it will also integrate multiple demand sources such as Qiwei, emails, call records, and manual recording and photography; the prompt word (Prompt) will continue to be optimized to predict potential problems and make user operations easier and more efficient.
Specifically, the salesperson only needs to clarify the ordering requirements during the chat with the customer, and YonGPT will automatically extract key information and generate an order based on the RFQ communication records. When the sales back office or salesperson opens their own workbench and performs daily routine sales management work such as tracking the progress of historical orders in the sales business department, they can quickly complete the smart order creation through dialogue and issuing instructions. The salesperson can initiate a chat with the customer through the friend space on the order list page. During the chat, the salesman can actively introduce new products to the customer or the latest sales policy of the company. Customers may also inquire about the product status and product quotations they are concerned about. Based on other relevant information such as inventory, the salesperson can promise the delivery date for the customer and provide advice on placing an order.
After clarifying the customer's order requirements, click Generate Order Summary to enter the new page of "Sales Order". YonGPT automatically extracts the order summary information based on the customer's RFQ communication records and presents it on the business intelligence panel on the right. If there is any missing information, The pre-trained YonGPT will also give corresponding reminders. If the delivery date is not provided, the salesperson can initiate communication with the customer again to complete the information and then regenerate the order summary. After the salesperson confirms that it is correct, he can click to place the order immediately. YonGPT automatically parses the order summary information into an order business object, and automatically fills it into the fields on the new order page. If the promotion policy is matched, the system will automatically bring out relevant information such as gifts or discounts. The panel on the right automatically switches to "Business Assistant" The salesperson can refer to the assistant on the right to consult and edit the order, such as modifying the discount information of the order, etc. After the salesperson confirms that it is correct, the order can be saved, and the order will be approved after passing the rule verification After saving successfully, the salesperson can send the order link to the customer. After the customer opens the link for confirmation, the order will undergo subsequent review and fulfillment process.
Based on YonGPT, a large enterprise service model of UFIDA, which integrates rich supply chain leading practices, it realizes the easy generation of orders, greatly saves the time and cost of sales staff, reduces the risk of input errors, and makes sales work more efficient, easy, and intelligent. Improve sales efficiency, customer satisfaction and business competitiveness.