THE PROBLEM A global multimedia and creativity software company wanted to determine retention propensity for retail consumers who had contacted their call center with intention to cancel subscription. THE SOLUTION Customer tenure and product subscription history was analyzed using a self-learning, multi-modeling prediction technology from Findability.AI The proprietary algorithm ingested...
THE PROBLEM In telecom industry, customer behavior is influenced by several external factors like new phone launch, festivals, time of the year etc. making it difficult to predict likelihood of retention. THE SOLUTION Findability.AI's, proprietary self-learning, multi-modeling AI technology predicted customer churn based on CRM information, plan details, usage, and...
THE PROBLEM Due to increasing competition, it is necessary for telecom carriers to maximize dues recovery as well as expand their subscriber base. A balance between soft action like sending reminders and hard action like discontinuing the service is important for collection teams. The client, a third-party accounts receivable management...
THE PROBLEM Global accounts receivable management company wanted to optimize the collection of overdue balance from loyalty program members. Around 25000 customers accrue a cumulative debt between 40-45 million USD in overdue payments every year. The retailer’s receivables management partner wanted to adopt a data driven debtor contact strategy to...
THE PROBLEM A global debt collections agency wanted to improve payout rate of overdue invoices for its stores in the US. The client wanted to improve upon the existing dues collection rate (24%) through a renewed debtor contact strategy. THE SOLUTION We proposed an operational strategy of ranking each invoice...
THE PROBLEM one of the fastest growing insurance firms in India with 121 offices across the country. The company was losing business opportunities due to growing number of queries and delays in response times. The company wanted to adopt AI technology for automating customer interactions and providing round the clock...
THE PROBLEM Canada’s leading provider of protection and wealth products/ services wanted to improve its customer engagement strategy. The company wanted to identify the customers at higher risk of attrition and predict overall customer satisfaction rating for key service parameters across three business units. THE SOLUTION A proprietary self-learning, multi-modeling...
PROBLEM ENCOUNTERED One of India’s leading media conglomerates, owning some of the country’s largest digital publishing plat- forms for news, lifestyle, and entertainment content, wanted to improve their audience engagement across multiple online platforms. A positive audience experi- ence, in terms of people being able to discover and con- sume...
PROBLEM ENCOUNTERED A global accounts receivable management company wanted to optimize the collection of overdue credit card balance for a Fortune 500 retail firm. Headquartered in US, the retail corporation is among the top 10 in the country and issues their own branded credit cards to the members of its...
