Home»Resources»Migrate» A leading Electronics spare parts manufacturer leverages PreludeSys Azure capabilities to automate chat process and convert more leads
A leading Electronics spare parts manufacturer leverages PreludeSys Azure capabilities to automate chat process and convert more leads
Client is an Electronics spare parts manufacturer based in California, consistently delivering high-end products since 1995
Challenges faced by the Client
As a leading electronic manufacturer in the West Coast, the management’s vision was to
extend their operations across the US. To power this growth drive, a lot of new lead
generations channels are being tried out. One major investment was in marketing. As they
drove more leads into their website, the team initiated live chat services in their website.
Unfortunately, due to poor training and insufficient resources, the Live Chat was not
successful in converting the leads to closure. At this time, client wanted to explore a solution
that would automate their chat process and convert more leads.
PreludeSys advisory team spent quality time with the client’s Marketing and Sales teams to
understand the requirements and expectations. The solution was to customize a Chatbot using
Azure Bot Services. Keeping in mind the importance and urgency of the mission, we planned
to complete the assignment in 5 days. All the collected inputs were fed into the QnA maker of
the Azure Machine Learning services. That Chatbot was programmed to dynamically respond
to questions by using machine learning logic. The program would also make use of the email
templates and standard responses to fix appointments and convey messages.
The chatbot's 24x7 presence made a huge difference in terms of availability. In
conjuction with the ability to handle multiple conversations simultaneously, resource
crunch or skill gap was not an issue anymore.
Our clients lead generation rate shot up by 38%, which ultimately had a positive
impact on the conversion rate as well.
The chatbot campaign was apparently cost-effective and easily scalable with a higher
lead generation capacity.
The response time and ability to comprehend visual cues gave the chatbot an edge
over their pervious process by a significant margin.
The API integration of the chatbot with their CRM helped automate lead flow and
decreased lead lifecycle by 27%.
The machine learning ability of the chatbot made it capable of identifying sentiments
and intents of the audience, gave a human-like touch to the chatbot.
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