日本城市交通拥挤、车位短缺、停车费高。因此，对于上班族而言，为了通勤购车并不划算，即使偶尔出趟远门，也可选择租车。于是，以租代购逐渐成为日本汽车消费的流行趋势。
据了解，2018年，日本的个人租车用户超过500万，市场规模达到1.8亿美元，预计在未来几年仍将稳步增长。此外，随着2020年东京奥运会的临近，访日游客的租车需求也在迅速增长。
某大型租车公司主要从事汽车租赁业务，现有在职员工800多名，门店网点遍布日本各地。近年来，该公司在受理客户预约的业务中实施RPA，使订单处理自动化，以便更好地适应市场需求。
应用业务
租车预约受理业务。
应用流程
在各个旅行预约网站上搜寻并接受订单，从管理页面逐一筛选、打印出订单信息，并将订单内容输入到核心系统中。
实施RPA前
1.每天靠人工手动搜寻并处理大量订单，不仅耗时费力，还容易出错或遗漏。
2.汽车租赁受季节因素影响，预约受理数会有很大变动，接待业务的工作量也会发生相应的变化。
3.公司的在职员工中，有9成是女性，且大多是年龄在30岁左右的“育儿一代”。若女员工相继离职请假，可能导致业务人手不足。
实施RPA后
1.RPA机器人可代替人工自动搜寻并处理预约订单，其速度比人工操作快8倍，且几乎没有失误，大大提高了工作效率，节省了预约受理时间。
2.RPA扩展能力灵活、“无侵入性”，可集成在原有系统上，跨系统跨平台自动迁移租车预约的订单信息。
3.缓解了业务高峰期的人手不足，确保淡季和旺季的业务需求与人员配置相匹配。
4.RPA改变了工作模式，使女员工可以在工作和家庭中切换自如，降低了员工流失率。
5.由于给客户和员工带来了极大的便利，公司因此深受好评，从行业中脱颖而出。
RPA Case: Large Japanese Car Rental Company
Japanese cities have crowded transportation, a shortage of parking spaces and high parking fee. Hence, as for office worker, it is not cost-effective to buy a car for commuting. Even if you take a long trip once in a while, you can choose to rent a car. So renting instead of purchasing has gradually become a trend of automobile consumption in Japan.
It is known that in 2018, personal car rental users in Japan is over 500 million, and the market scale is up to 1.8 billion dollars. It is expected to continue to grow steadily in the next few years. Furthermore, with the 2020 Tokyo Olympic Games approaching, the demand for car rental for visiting Japan is also growing rapidly.
The large car rental company is mainly engaged in car renting business, with more than 800 employees and the stores all over Japan. In recent years, the company has deployed RPA in the business of accepting customer reservations to automate order processing in order to better meet the needs of the market.
The business object
Car rental reservation acceptance business
Deployment process
Searching and accepting orders in several appointment websites. Then, filter and print out the order information one by one from the management page, and input the order content into the core system.
Before deployed (Pain point)
1. Searching and processing a large amount of orders manually every day is not only time-consuming and laborious, but also prone to mistakes of omissions.
2. Car rental is affected by seasonal factors, the number of appointments will change greatly, and the workload of the reception business will also change accordingly.
3. There are 90% of women in company’s staff, and most of them are the “parenting generation” who are about 30 years old. If women employees left their jobs one after another to ask for leave, it could result to shortage of manpower.
After deployed (Effect)
1. RPA robots can automatically search and process reservation orders instead of manual operation. Its speed is 8 times faster than manual operation, and there are almost no mistakes. It greatly improves work efficiency and saves appointment acceptance time.
2. RPA is flexible scalability and “non-invasive”. It can be integrated on the original system, and the order information of car rental reservation can be automatically migrated across platforms.
3. RPA alleviated the manpower shortage in business peak time, and ensured the demand in off-season and peak season can match the personnel allocation.
4. RPA has changed the model of work, so that female employees can swift between work and home freely, reducing the turnover rate of employees.
5. Due to brings great convenience to customers and employees, the company is well received stands out from the industry.
END
UiBot
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