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Logistics

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Manufacturing (Trucks)

Case Study Manufacturing (Trucks) Customer is an American Fortune 500 company and counts among the largest manufacturers of medium- and heavy-duty commercial vehicles in the world. Customer is engaged in the design, manufacture and customer support of light-, medium- and heavy-duty trucks. The Problem The customer, a 100-year-old company, leads in truck design and manufacturing, distributing their trucks through dealers. Currently, they use legacy software across various divisions to track business metrics. The customer has been losing significant money annually due to warranty claims on vehicles and parts across multiple models. Dealers have the potential to raise fraudulent claims, and there is no current system in place to detect these. Additionally, the customer has no way to forecast warranty claims and relies heavily on manual claim processing by a large team of agents. The customer is interested in automating these processes. The Solution BIRD conducted thorough exploratory analytics on the customer’s database to gain an in-depth understanding of the domain. After discussing potential use cases and problem areas with the customer, BIRD developed advanced predictive models to identify fraudulent claims using NLP techniques. The solution also automated claim processing and provided claim forecasting for better inventory management. Additionally, BIRD offered web service requests for these models, allowing them to be invoked directly from transactional systems. The Results Cost savings of approximately $675,000 per year were realized by reducing the number of claim agents through automated claim processing. Report generation time was reduced from 1 week to a few minutes as batch data processing was made real-time. Fraud avoidance and proactive alerts resulted in significant additional savings for the customer. Download

Automation, Blog, Logistics, Technology

Human Resources (Chatbot Integration)

Case Study Human Resources (Chatbot Integration) The customer is a publicly traded company with global offices and with 70k employees. The customer is a digital transformation enabler and services company with head quarters in the USA. The Problem With 70,000+ employees spread globally, the customer faced challenges in managing HR requests, leading to higher employee attrition and dissatisfaction. The customer implemented a powerful NLP-driven chatbot (knowledge bot) to address this issue. However, they lacked the analytics component within the chatbot, which became critical for better decision-making. The Solution BIRD’s architecture was built to integrate seamlessly with third-party applications, including chatbots. APIs were exposed to authenticate and authorize users with the appropriate permissions, enabling real-time execution of NLP queries within BIRD. BIRD’s NLP capabilities were used extensively to convert English-driven questions into SQL queries, fetching real-time results for users to aid decision-making and allow further exploration through the chatbot interface. Data and visualizations were dynamically served from BIRD to the chatbot. The Results Significant cost savings due to automated analytics, reducing the need for human intervention. Real-time insights provided through the chatbot interface, enabling better decision-making for the customer. The customer was able to implement end-to-end governance into the chatbot using a powerful API-driven authentication and authorization mechanism, particularly critical for HR-related processes. Download

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