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日本百年酒水生产商RPA案例分享

 RPA研究院 2020-05-06

日本某酒水生产商,迄今已有百余年历史,主营啤酒、洋酒(威士忌、葡萄酒)、软饮料等的生产、销售业务,在中国、美国、英国、加拿大等40多个国家和地区均设有分公司和办事处。

进入数字时代,该公司紧跟步伐,成了日本最早一批主动实施RPA的企业。2017年初,为了顺利部署RPA,公司在内部成立了跨部门的RPA卓越中心,帮助员工更加系统地学习RPA技术,共同推动RPA项目落地。

经过近5个月的POC测试,公司率先将RPA应用于财务、销售、人力资源等部门。2018年,公司进一步扩大RPA应用范围,并于2019年实现了RPA在全公司各部门的部署。


应用业务

1.销售部:收集销售数据

实施RPA前


1.销售人员要手动收集所有竞品的零售数据、业绩报表、产品信息等资料,流程重复、繁琐,大约要消耗70%的时间;

2.人工收集数据不能保证百分百的准确性和实时性,统计出的数据可能无法适应最新的市场环境。

实施RPA后


1.RPA机器人通过销售人员提供的数据采集地址,自动提取相关数据,并将数据自动存入指定文件中,再通过邮件发送给相关人员;

2.人工只需查看最后的结果即可。

实施效果


RPA大大提高了销售部门的数据收集效率,保证了数据的准确性和及时性,同时节省了大量的人力成本和时间成本。

2.人力资源部:招聘人才

实施RPA前


1.HR需要登录数十个招聘网站,手动发布招聘信息;

2.获取应聘者信息后,HR还需手动筛选每一份简历,并通知应聘者。

实施RPA后


1.RPA机器人可自动登录招聘网站,发布招聘信息,预筛选应聘者简历,并通知应聘者;

2.机器人还可对整个操作流程进行数据信息统计。

实施效果


RPA帮助HR改善了招聘流程,提高人才招聘效率。原先每天花费30分钟的业务,现在只需5分钟就能完成。

下步计划

如今,该公司已部署了200多个RPA机器人,实现了60多个业务流程的自动化,每年节约工时近40,000小时,大大提升了公司业务的整体效率。

今后,公司计划通过将RPA与AI相结合,利用NLP(自然语言处理)、ML(机器学习)等人工智能技术,处理更为复杂的非结构化数据,实现更高级、更灵活的自动化,让员工专注于更具创造性、更高附加值的工作。


RPA Case: Japan's Centennial Wine Producer

A Japanese wine vender with over 100 years of history ismainly engaged in selling beer, wine (whiskey, wine), soft drinks, etc.Its branches and offices have been set up in 40 places, including China, the USA, the UK and Canada.

Entering the digital age, the company kept up with the pace and became the first group of Japan to actively deploy RPA. In early 2017, the company established across-department RPA center of excellence (COE) internally to help employees learn RPA more systematically and jointly promote the landing of RPA projects.

After nearly 5 months of POC testing, the company took the lead in applying RPA to finance, sales, human resources and other departments. In 2018, the company further expanded the deployment of RPA, and realized the deployment of RPA in all departments of the company in 2019.


Deployment business

1.Sales department: collecting sales data

Before deploying RPA


1.The sales staff shouldmanually collect the retail data, performance reports, product information and other data of all competitive products. The process is repetitive and tedious, which consumes about 70% of the time;

2.Manual data collection cannot guarantee 100% accuracy and real-time performance, and the statistical data may not adapt to the latest market environment.

After deploying RPA


1.The RPA robot automatically extracts the relevant data through the data collection address which is provided by the sales staff. And it automatically saves the data in the designated file. Then, it will be sent to the relevant staff via email;

2.Employees only need to check the final result.

Effects


RPA greatly improves the data collection efficiency of the sales department, guarantees the accuracy and timeliness of the data, and saves a lot of labor and time costs.

2.Human Resources: Recruitment

Before deploying RPA


1.HR needs to log in to dozens of recruitment websites and manually release recruitment information;

2.After obtaining candidate information, HR also needs to manually screen each resume and notify the candidate.

After deploying RPA


1.The RPA robot can automatically log in to the recruitment website, post recruitment information, pre-screen candidates' resumes, and notify candidates;

2.The robot can also perform statistics on the entire operation process.

Effects


RPA has helped HR improve the recruitment process and increase the efficiency of talent recruitment. The 30 minutes process can now be completed in 5minutes.

Next step

Today, the company has deployed more than 200 RPA robots to automate more than 60 business processes, saving nearly 40,000 hours per year, and greatly improving the overall efficiency of the company's business.

In the future, the company plans to combine RPA and AI to use artificial intelligence technologies such as NLP (Natural Language Processing) and ML (Machine Learning) to process more complex unstructured data to achieve more advanced and flexible automation, so that employees can focus on more creative and higher value-added works than before.

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