Systematic document recognition and validation services in automobile purchasing with Liasn

Liasn Exchange Inc.是一家加拿大自己的创业公司，为汽车行业提供销售加工服务。他们最初的客户群包括768安大略的汽车经销商。该业务面临的挑战是自动化车辆销售周期，其中涉及包括省政府，私人保险公司，汽车购买者和经销商在内的多方之间的购买，保险和融资等多个文件的交换。这一过程目前主要以纸张为基础，通过传真交换文件，经销商有自己提供采购信息的格式。 Liasn正在提供一种自动化服务，该服务将使用光学阅读器以数字方式传输信息，以作为行业格式标准化的先驱。因此，他们的系统需要自适应地学习识别各种格式，以识别销售周期各方（政府、保险公司等）所需的必要信息。研究还将涉及学习和搜索欺诈行为，并验证提供的正确信息。 该研究项目将大大减少由于转录信息，行业内欺诈和延迟处理以及不适当或未投保或错误资助的司机而造成的人为错误。这些问题对安大略政府、保险公司和金融企业具有重大意义，因为它们可以构成 在涉及此类不当/错误处理的汽车事故中承担重大责任 汽车购买者。

Liasn Exchange Inc. is a Canadian own start up business providing sales processing services to the automotive industry. Their initial client base includes the 768 Ontario based automotive dealerships. The business' challenge is automating the vehicle sales cycle which involves the interchange of several documents including purchasing, insurance and financing between several parties including the provincial government, private insurer, the automobile purchaser and dealership. The process is currently mainly paper-based with the exchange of documents through fax and dealers having their own format for providing purchasing information. Liasn is providing an automation service that will use optical readers to digitally transfer the information to serve as a precursor to industry format standardization. Thus their system needs to adaptively learn to recognize a variety of formats to identify the necessary information required by each of the sales cycle parties (government, insurer, etc.). The research will also involve learning and searching for fraud and validating correct information has been provided. This research project will significantly reduce human error due to transcribing information, fraud within the industry and delays processing and improperly or uninsured or mistakenly financed drivers. Such issues are of significant interest to the Ontario government, insurance companies and finance businesses as they can pose a significant liability in cases of automobile accidents involving such improperly/incorrectly processed automotive purchasers.