Customer support requests automated
50% Automation with eCommerce Chatbot
Our client is the international leading supplier of commercial equipment in Europe. With 1000 employees on board, they offer more than 25.000 products and count more than 350.000 global customers in 180 countries so far. The company provides all kinds of equipment for restaurants, bars, hotels, laboratories, and retail food markets.
They are growing 20+% per year—great news for the company. But the increasing number of customers means growing numbers of customer requests.
Covered out of the box, end-to-end
Customers connect instantly, day or night
Served across all supported languages
How did we help
We developed a multilingual WhatsApp chatbot that handles seven languages: English, French, German, Dutch, Polish, Turkish, and Arabiс. The chatbot automates 50% of customer service requests and is integrated with their CRM – Salesforce.
Customer service results
Of customer service requests automated
Of presale queries
Of post-sale support queries
Of support queries
Languages covered
How did we achieve it
Planning
To better understand the company's goals, we jumped on a plane to visit our client in Germany for a 2-day personalized workshop.
We listened, observed, and collaborated with the client's team to discover their day-to-day pitfalls and needs. It gave us an inside look and feel of the company, which you'll never get over the phone.
In two days, we found that they have:
- The chat support waiting time is 5 hour per day;
- The text support resolution time starts from a few hours to days;
- The call support resolution time durates from 4 to 10 minutes;
- They were tracking records in CRM from WhatsApp, Web, FB Messenger platforms manually
- They have multilingual customer service agents.
We highlighted pre-sale and post-sale inquiries that can be fully automated and grouped the most popular queries. Then, we estimated how many of them could be handled by a chatbot. We understood that they could use a chatbot to automate on average
The next step was to calculate potential savings and ROI and create a demo version of a bot. After the client’s approval, we started developing the MVP version of the chatbot.
Performance
Waiting time
Conversation duration
Potential ROI
In savings per year
ROI in one year
Payback period
Development
We began building the chatbot on the BotsCrew Chatbot Platform that allows starting building and testing WhatsApp bots right away in a Sandbox. Our Platform enables us to create and customize the conversational flows, update and train chatbots, send targeted broadcast messages to clients’ customers, and measure results with in-depth statistics. Here are the technologies that we used:
- Java
- BotsCrew Platform
- DialogFlow
Integrations
We integrated the chatbot with Salesforce and SAP so that every client would be automatically added to CRM with the right customer information service ticket and agents assigned.
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