The OBEI Cup 2023 Industrial Products Supply Chain Data Intelligent Innovation Competition has kicked off!

2023 2nd OBE CupIndustrial product supply chain data intelligence Innovation Competition

#In order to promote B2B e-commerce for industrial products To build a commercial and industrial ecosystem and promote the deep integration of big language models and the real economy, Ouye Industrial Products Co., Ltd. and the Shanghai E-Commerce Industry Association, under the guidance of the Shanghai Municipal Commission of Economy and Information Technology, will co-host the second session in 2023 The "OEBE Cup" Industrial Products Supply Chain Data Intelligent Innovation Competition is based on the successful holding of the first "OEBE Cup" in 2022. This competition is open to major universities across the country, focusing on the innovative application design of drooping large-scale models in industrial product supply chain scenarios, exploring the digital intelligent path of artificial intelligence multi-modal technology to empower the industrial economy, and is committed to promoting the industrial chain, industrial chain and Reshaping and Rebuilding the Value Chain

##race question

Rewritten content: Scenario 1: Intelligent understanding and generation of bidding documents

In the bidding scenario, due to the large amount of information in the bidding documents and the rigid format requirements for the bidding documents, the bidding documents Writing is time-consuming and laborious. Therefore, we hope to have an intelligent bidding document generation system that can quickly understand and extract the key elements and bidding document requirements in the bidding document, and generate the relevant parts of the bidding document based on this information.

Scenario 2: Intelligent Extraction of Contract Information

Contract information is usually stored in the form of long text. Since the contract text is usually relatively complicated, it is difficult for the contract auditor to quickly Focus on the key terms of the contract, but it is difficult for contract administrators to digitally manage long text contracts. Therefore, we hope to have an intelligent contract information understanding system that can extract key contract terms from the long text of the contract for display, and structure the content contained in the contract.

Scenario 3: Intelligent Procurement Assistant

##Purchasers sometimes do not have a clear purchase material model during the procurement process, but they have clear purchase material requirements, such as the work scenario of the material, key technical attributes, etc. At this time, it is difficult for the buyer to quickly search for the materials he needs in the industrial product platform. We hope to have a purchasing assistant who understands the knowledge of industrial products, can directly analyze the user's purchasing needs, and directly recommend SKUs that meet their needs based on the needs.

## Scenario 4: Industrial product e-commerce data Automated annotation

The construction of large language models in the field of industrial product supply chain is inseparable from the annotation of domain data as the data basis. Due to the wide variety of data involved, an automated annotation scheme was designed to automatically annotate materials, contracts, and corporate information to expand the industrial product knowledge system.

#Contest Schedule

##prize settings

#Scan the QR code to register immediately

Get more information about event guide, registration form, competition questions and more:

https://www.php.cn/link/44e55ed981c434536b85d307e6215b26

##First Review

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