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boost.ai > Case Studies > Sector Alarm's Successful Transition to Conversational AI Across Multiple Markets
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Sector Alarm's Successful Transition to Conversational AI Across Multiple Markets

Technology Category
  • Infrastructure as a Service (IaaS) - Virtual Private Cloud
  • Wearables - Virtual Reality Glasses, Headsets & Controllers
Applicable Industries
  • Buildings
  • Cement
Applicable Functions
  • Sales & Marketing
Use Cases
  • Chatbots
  • Perimeter Security & Access Control
Services
  • System Integration
The Challenge

Sector Alarm, a leading European security company, was facing challenges with its customer service strategy. Despite having a robust omnichannel approach, the company identified inefficiencies in its live chat sessions, particularly in larger markets. Multiple agents were handling each chat session, often dealing with repetitive inquiries such as password resets or product information requests. The company estimated that agents were spending an average of two and a half minutes per chat searching for customers and updating the CRM. Sector Alarm had previously implemented a chatbot solution in 2018, but it was 'tech-heavy' and lacked flexibility. The company found it difficult to make necessary changes and updates without the frequent involvement of the IT department. The initial chatbot solution was not scalable and was unable to meet the growing demands of the company's customer service needs.

About The Customer

Sector Alarm is a leading safety provider in Europe, established in 1995 in Norway. The company provides security and alarm services for homes and businesses to over 600,000 customers across eight markets. Sector Alarm is committed to providing excellent customer service, as reflected in its consistent 95% customer satisfaction rating. The company employs an omnichannel approach to its customer service strategy, with a main contact center employing over 250 agents working across phone, email, and live chat. Sector Alarm also uses a chatbot solution to automate repetitive customer inquiries and free up human agents.

The Solution

In 2021, Sector Alarm partnered with boost.ai to develop a pilot for an advanced virtual agent that could be scaled across the company's eight key markets. The boost.ai platform offered an intuitive hierarchical structure for creating and maintaining intents, allowing the AI model to cover a broad scope of information while providing specific answers when necessary. The platform was easy to use and did not require developer skills to make changes. The virtual agent was also designed to integrate seamlessly with Sector Alarm's existing contact center solution, Twilio Flex. Boost.ai's proprietary Automatic Semantic Understanding (ASU) technology was used to intelligently hand over customers to live chat agents when necessary, reducing false positives by over 90%. The virtual agent was built in less than two months and was ready to launch within four weeks.

Operational Impact
  • The implementation of the boost.ai platform significantly improved Sector Alarm's customer service efficiency. The new virtual agent was able to handle repetitive inquiries, freeing up human agents for more complex tasks. The platform's ease of use allowed the team to have complete ownership over the project, making necessary updates without the need for IT involvement. The successful pilot in Norway led to the rollout of virtual agents in Sweden, Spain, Finland, and Ireland, with plans for France, Italy, and Portugal before 2023. The new system also allowed for better standardization across all markets, with fewer AI trainers needed and more focus on ensuring consistent answers across different regions. The company's customers have responded positively to the new virtual agents, complimenting their effectiveness.

Quantitative Benefit
  • The boost.ai virtual agent delivered an in-scope resolution rate of 92%, a significant increase from the 70% resolution rate of the old chatbot.

  • Over 80% of the queries handled by the new virtual agent were marked as 'fully solved'.

  • The virtual agent was built and ready to launch in less than two months.

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