Smart Collection

Help customers complete repayment reminders, overdue collections, information search and human-machine collaborative collections in collection scenarios.

Industry Pain Points

行业痛点

Urging payment workload increased
Urging payment workload increased
The loan/credit card delinquency rate is rising, and it is difficult to complete collection through traditional collection models when there is no or little increase in collection staff.
High third party agency collection risk
High third party agency collection risk
By entrusting BPO or collection company to be responsible for collection, its risk is high and collection efficiency is low
High labor cos
High labor cos
A lot of repetitive work brings negative emotions to the marketing staff, with low work enthusiasm, high staff turnover rate and imperceptible increase in training costs
Data loss
Data loss
The effective process of collection is not recorded, which brings inconvenience to follow-up statistics

Solution Products

行业痛点

  • Intelligent collection robot
  • Intelligent collection of big data decisions
Solution Description
Solution Description
Support more than 20 business scenarios, can be integrated into the existing workflow, to achieve a platform management. It can not only provide one-time communication service to customers in various scenarios, but also continuously track and make repeated calls and cross-cycle communication to customers, which maximizes labor cost saving and gives full play to the maximum value of intelligent voice technology to reduce cost and increase efficiency.
Application scenarios
Application scenarios
Credit card center, all kinds of external call collection scenarios
Solution Description
Solution Description
Based on data driving, Pachira can identify keywords and classify customer intentions, formulate urging payment strategy combination, and make continuous optimization and adjustment according to monitoring and evaluation of urging payment results. With complex label judgment, self-editing can be realized. The result label can be defined accurately and flexibly according to the needs of different projects and different business scenarios. The intention is clear and the repayment is agreed. Repayment intention is not clear and no intention of repayment. Possible handling, triggering a business answer.
Application scenarios
Application scenarios
The deployment of all kinds of collection strategy

Advantage

行业痛点

High quality urging payment word
High quality urging payment word
Based on years of banking service experience, Pachira can quickly sort out urging payment scenarios and set up corresponding high-quality urging payment word to increase the success rate.
Real voice is rich in emotion
Real voice is rich in emotion
Human voice recording mode is adopted to reduce the rigid and emotionless dialogue of traditional robots. Colloquial language and warm-up language will be added to ensure the quality of dialogue and make it more acceptable to customers.
Speech to Text conversion
Speech to Text conversion
Users can directly send the information they want to consult through voice. The ASR enables the system to accurately identify and understand user conversations and answer users' questions.
Accurate analysis of customer intentions
Accurate analysis of customer intentions
Through batch outbound call, the conversation time with customers and the trigger of key words of customers during the conversation, the strong or weak of customers' intentions can be screened out, help collectors to quickly grasp the intentions of customers when they do the second collection, greatly improve the success rate of collectors.
Support conversation interruption
Support conversation interruption
Based on Pachira full-duplex voice interaction technology, robot supports customers to interrupt the conversation at any time in the process of speaking. When customers have questions or want to ask information, the robot can respond quickly and give feedback.
Support multiple rounds dialogue
Support multiple rounds dialogue
Based on the strong knowledge base accumulated by Pachira, it can provide multiple rounds of undifferentiated dialogue in the process of interaction with users, accurately obtain questions, and make robot answer more accurate.

Customer Case

行业痛点

普强助力合众人寿提升电销业务质检效率
普强助力合众人寿提升电销业务质检效率
合众人寿保险股份有限公司成立于2005年,是中国保险业全面对外开放以来成立的第一家寿险公司,拥有近8万名营销员、27家分公司、500余家分支机构、800多亿元总资产。经过严谨筛选,...
普强信息助力长城人寿提升质检效率
普强信息助力长城人寿提升质检效率
针对呼叫中心质检效率低、信息提取难的普遍问题,长城人寿采用普强信息自动化质检解决方案,对呼叫中心坐席通话进行智能语音质检与分析,有效提升质检效率,更好地为客户提供产品及服务。
普强信息助力光大永明人寿提升质检效率
普强信息助力光大永明人寿提升质检效率
光大永明人寿保险有限公司成立于2002年4月,由中国光大集团和加拿大永明金融集团联合组建,为中国光大集团控股的国有保险企业,满足客户养老、意外、医疗、教育、资产管理等多方面的保险保...
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