THE PROBLEM The client wanted daily forecast of hospitalization and clinical visits for 22 administrative districts in the state of Haryana for efficient management of resources. The client wanted to adopt modern, data-driven methods for streamlining healthcare delivery. THE SOLUTION An AI-powered Healthcare Forecasting and Analysis System (HFAS) was developed...
THE PROBLEM The client tested multiple batches of pharmaceuticals in their laboratory on daily basis. The laboratory personnel manually compared test results with the standardized ‘certificates of analysis’. The client wanted to automate the review of assay reports as the manual approach to quality assurance was time-consuming and resulted in...
THE PROBLEM The manual scheduling procedures across the operating rooms (ORs) often result in high waiting time for patients and uneven shift allocations for the hospital staff. The client wanted to improve OR efficiency by predicting the duration for which the OR would be occupied for a pre-scheduled surgical procedure...
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...
THE PROBLEM An international airline operating in Western Pacific region and deploying a fleet of 250 aircrafts wanted to reduce costs by now flight engine failure in advance to convert unscheduled maintenance to planned maintenance Analysis of condition of in-service equipment allows the airline to schedule maintenance proactively. The client...
THE PROBLEM Japan’s leading transportation company wanted to reduce significant costs on transportation fee with accurate demand forecast. The client wanted to retain only those stores where viable future demand existed. Customer’s existing method of demand forecast was manual, unable to yield consistent accuracy and had fluctuations due to external...
THE PROBLEM Project management is key to meet business challenges with high efficiency. A leading supplier of mixed signal semiconductors needed help to unify their resources and bridge the gaps between their departments. THE SOLUTION Using Findability.AI as the core, we designed an integrated resource planning and forecasting application which...
THE PROBLEM Leading microelectronics component manufacturer wanted to optimize SKU-level price points for selling to trade. Their price prediction algorithm had unresolved issues (bugs) resulting in long processing times. An efficient, AI powered system was needed to decide whether an upcoming quote should be accepted and the quality to be...
THE PROBLEM Straumann was looking at building the implant market leadership and wanted to harness data with AI to revolutionize patient care, but was struggling with unstructured data overload. Building a data architecture powered by AI would create a prediction engine for optimal business outcomes. THE SOLUTION Findability built a...
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...
THE PROBLEM Every business looks to find new ways to increase earnings, reduce risks and improve production efficiency. And the first steps to this is managing inventory and forecasting demand. One of leading manufacturer of residential air conditioning in North America wanted to optimise inventory planning, sales quality forecast at...