AI Bot for Customer Support in Retail

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AI Bot for Customer Support in Retail

SiriusOne developed an AI-driven customer support bot for a retailer in Western Europe. The solution streamlined business processes, integrated with the call center, and enhanced customer satisfaction.
Tech Stack: AWS, Anthropic, Python, RAG, Agents, WhatsApp API Integration, Zendesk
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Client & Project Overview:

SiriusOne developed an advanced AI-powered customer support bot for a leading furniture retailer known for selling couches in Western Europe. This solution enhanced customer service capabilities by integrating with the call center, scheduling deliveries, and managing returns for damaged items. Our collaboration highlights the power of AI in streamlining retail operations, improving response times, and elevating customer satisfaction, all while ensuring data security.

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Business Problem:

The client’s customer support team faced significant challenges in handling a high volume of customer inquiries, delivery scheduling requests, and return processing for damaged items. The traditional process required extensive manual effort, leading to delays, inconsistencies, and dissatisfied customers. The client needed an AI-driven solution to automate support operations, improve efficiency, and enhance the overall customer experience.

Solution Overview:

We integrated the AI bot into the client’s existing call center infrastructure, enabling automated delivery scheduling and handling return processes for damaged items through WhatsApp. The sophisticated bot leveraged advanced NLP for accurate query resolution and image recognition for evaluating returned goods.

Key features of the solution include:

  • AI-Powered Chatbot: A responsive virtual assistant capable of handling customer inquiries, providing product information, and resolving common support requests.
  • Seamless Call Center Integration: The AI bot was integrated with Zendesk to log and track customer interactions, ensuring consistent support experiences.
  • Automated Delivery Scheduling: Customers could easily book or modify delivery times via the AI bot, reducing call center workload and enhancing efficiency.
  • Intelligent Return Management: The bot processed return requests through WhatsApp, leveraging image recognition to assess damage claims and streamline the approval process.
  • Multichannel Support: Integration with WhatsApp API allowed customers to interact with the bot via their preferred messaging platform, increasing engagement and accessibility.

Results:

The implementation of the AI-driven customer support bot resulted in significant improvements for the client, including:

  • 40% Reduction in Call Center Workload: Automated handling of common inquiries and requests reduced the burden on human agents.
  • Faster Response Times: AI-enabled instant responses improved customer satisfaction and reduced waiting times.
  • 20% Increase in Customer Engagement: The introduction of WhatsApp-based support made it easier for customers to interact with the retailer.
  • Efficient Return Processing: Automated image recognition minimized disputes and accelerated return approvals.

With this AI-powered customer support solution, the retailer achieved greater operational efficiency, enhanced customer satisfaction, and modernized its service approach to meet evolving consumer expectations.

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