Recently, the NovaTalks team received an interesting request. The client faced a problem that many modern businesses encounter: how to effectively process customer inquiries that come from numerous different channels, namely: phone, chat, messengers, social media, and email. 

Every day, a large number of routine inquiries about order status, product returns, and delivery questions overwhelmed the support team. This led to delays in responses and negatively affected the overall impression customers had of their interactions with the company.

Thus, we aimed to optimize the customer service process and ensure fast and quality feedback across all available communication channels. It was also crucial to automate routine tasks, which would allow the support team to focus on more complex issues and improve overall service efficiency.

In modern business, customer service is one of the most important aspects for retailers striving to maintain customer loyalty and provide high-quality service. With the increasing number of communication channels—from website chats to social media and email—managing these inquiries has become more complex. For companies to effectively address these issues, modern tools are needed to unify all channels into a single system.

Comprehensive Solution from NovaTalks:

Thanks to our experience in automating inquiry processing and integrating multichannel solutions, we identified the key tools necessary for the client, namely:

1. NovaTalks Integration

We integrated all communication channels (website chat, social media, phone, email) into a single window, allowing support agents access to the entire interaction history with each customer. This helped avoid duplicate inquiries and significantly reduced response times.

2. Automation of Customer Inquiries

We set up chatbots to respond to routine questions (order status, product returns, delivery terms). This reduced the workload on the support team, giving them ample time to address more complex issues.

3. Analytics for Service Improvement

With built-in reports, the client can track the current performance of the team in real-time and make forecasts based on historical data reports. This led to the optimization of internal processes and increased response speed to inquiries.

4. UTM Tags

The UTM tag functionality allows tracking from which sources and advertising campaigns customers came. This system automatically saves UTM tags from links from which customers initiate chats. This helped to further personalize offers and increase the effectiveness of marketing campaigns.

5. Automatic Quality Assessment

Automatic quality assessment of dialogues using artificial intelligence allowed for evaluating 100% of all completed conversations without wasting time. This provided instant feedback and enabled faster data analysis without errors typically associated with random sampling.

6. Templates

Response templates allow agents to quickly respond to standard customer inquiries. This saves time and increases communication efficiency, ensuring instant and consistent responses.

7. Dialogue Distribution

The intelligent dialogue distribution system automatically assigns inquiries to agents based on their availability and priority. This optimizes team operations, reducing waiting times for customers.

8. AI Assistant

The AI assistant generates responses to simple questions, summarizes dialogues, and even corrects grammatical errors.

9. Tags

Tags help categorize conversations and determine their priority. Agents can assign tags automatically or manually, allowing for grouping inquiries by topic and providing easier access to important information.

Benefits of Implementing NovaTalks:

The implementation of the new customer service system has brought significant results:

• Response time to inquiries decreased by 40%
• The load on the support service was reduced thanks to automation
• Customer satisfaction levels increased due to faster problem resolution.

NovaTalks enables companies to optimize all stages of communication with customers by automating processes and using analytics for continuous service improvement.