Download PDF
AI-Powered Assistance Revolutionizes Customer Support for Coffee Meets Bagel
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
Applicable Functions
- Sales & Marketing
Use Cases
- Chatbots
- Time Sensitive Networking
The Challenge
Coffee Meets Bagel (CMB), a popular dating app, was facing a significant challenge in managing customer service as the company grew. The support team was overwhelmed with thousands of new email tickets every month, leading to an average wait time of 12 hours for the first response. This was negatively impacting the customer experience, as agents were spending their time addressing straightforward questions that could have been handled without live support. The reliance on human connection for customer service was proving to be a hindrance rather than an advantage.
About The Customer
Coffee Meets Bagel is a popular dating app that focuses on helping people around the world find potential partners through quality, rather than quantity, of human connections. This focus on authentic connection has helped the app grow to serve millions of customers. However, as the company grew, it faced challenges in managing customer service, with the support team being overwhelmed by thousands of new email tickets every month. This led to long wait times for customers and a negative impact on the customer experience.
The Solution
To address this challenge, CMB collaborated with Ada’s ACX Consultants to develop and launch an AI-powered assistant within 30 days. Using Ada’s user-friendly platform, CMB created a custom chatbot using their existing content and support emails that were driving customer inquiries. The chatbot was deployed with just two lines of code, providing instant 24/7 support to both Android and iOS app customers. This solution removed barriers like time and geography, leading to a significant increase in the volume of customer inquiries. The chatbot was integrated with CMB’s live chat software, allowing for a seamless transition when a customer required human assistance. The implementation of the chatbot transformed the role of the agents, allowing them to focus on proactive and strategic initiatives.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Digital Transformation of Atlanta Grout & Tile: An IoT Case Study
Atlanta Grout & Tile, a Tile, Stone & Grout restoration company based in Woodstock, Georgia, was facing challenges with its traditional business model. Despite steady growth over the years, the company was falling behind the web revolution and missing out on the opportunity to tap into a new consumer base. They were using independent software from different vendors for each of their department information and workforce management. This resulted in a lot of manual work on excel and the need to export/import data between different systems. This not only increased overhead costs but also slowed down their response to clients. The company also had to prepare numerous reports manually and lacked access to customer trends for effective business decision-making.
Case Study
Revolutionizing Construction Equipment Rental: A Case Study on ProsRent and ENO8
ProsRent, a startup that won the 'Best Financial Opportunity' and 'Best Pitch' at CodeLaunch 2016, aimed to revolutionize the way construction professionals source and rent heavy equipment. In the construction industry, project managers and contractors typically rent heavy equipment from supply companies. However, predicting inventory can be challenging, and finding the required equipment at the right time and place can be a hassle. If the preferred vendor doesn't have the required equipment, it results in wasted time and money in searching for it, often leading to higher costs due to non-preferred rates and increased delivery costs if the vendor is located far from the job site. Suppliers, on the other hand, desired access to a wider base of trusted renters that they didn't have to vet themselves and wanted to offer dynamic rental pricing based on demand and availability in their market. ProsRent's challenge was to produce a minimum viable product that was fast and first to market but also strong enough to engender loyalty and repeat business from the target market.
Case Study
IoT Solution Enhances Comfort and Energy Efficiency at Apple Valley Commons Office
Apple Valley Commons, a mixed-use office complex built in 1986, was facing significant comfort and energy efficiency challenges. The building, which houses a variety of businesses, was experiencing extreme temperature imbalances, causing discomfort to employees and clients. Despite outdoor temperatures being consistently high during summers, occupants had to use space heaters to keep warm. The electricity bills from the constant operation of the heat pump were exorbitant. The building's elevator room on the roof was also overheating, reaching temperatures of 130 to 140 degrees, causing the elevator equipment to shut down. The building's existing controls solution did not provide a front end for diagnostics or remote control. The building management was seeking a solution that could address these temperature issues, improve occupant comfort, reduce operational costs, and increase building visibility.
Case Study
Revamping EE's Legacy ERP: A Case Study on BT's Strategic Transformation
EE, even after its merger with BT, was operating its ERP estate on legacy infrastructure, hosted on the premises of a third-party supplier. This outdated system resulted in a volume-based operational model, higher time to market, longer delivery cycles, and unsatisfactory customer experience. BT recognized the need for a strategic transformation of these aging ERP systems and sought a partner who could proactively manage application services. The partner was also expected to handle development requirements associated with application management services, drive accountability, and ownership with a time and target-driven transformation of these services. BT's primary goals were to improve customer experience, reduce cycle time, and measure these improvements with precision.