Making waves, one conversation at a time.
Focusing on the Financial services, Insurance, Retail & Property sectors, GotBot Ai is here to take your business to the next level.
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View the case studies below, and see how we're transforming the industry chat by chat.
Overview
A local credit provider in South Africa required a machine learning chatbot service to reduce the number of inbound calls to their call centre.
Over 60% of inbound calls were asking the same questions.
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• What is my current balance?
• What is my interest rate?
• When do I need to pay my balance?
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GotBot was able to provide the answer to the customer within 43 Seconds, rather than the traditional means of a telephone which held an average handling time of over 6 Minutes.


The results? Less human resources are required to achieve the same goal in a fraction of the time.
01 Credit Provider
Overview
A large retail bank required a solution to deal with their acquisition process of loan through their Webchat.
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GotBot was asked to tender and was awarded the project and implement the new solution.
The GotBot CustomCare chatbot was tasked to automate their leads generation process
through Webchat.
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By utilising Gotbot on their website, this business was able to convert organic web traffic into millions of rands worth of new business in just a few short months.
27 126
total messages from customers
(requests or questions through traditional webform)
GotBot CustomCare
(Based over a 5 month period)
R 11.3 Million
Loans acquired during the 5 month
12 180
Number of leads over the 5 month period
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02 Retail Bank
3 863
Sales forms submitted
(Hand over from the chatbot )
Overview
A bank required Gotbot to facilitate automated first level support by using web chat as a channel to customer. .
Furthermore, enabling a chatbot to increase customers’ satisfaction and engagement with instant and relevant answers to their queries. Commissioning of a WebChat Chatbot. This included critical intents based on FAQ’s and Knowledge Centre. Chat bot must be able to augment work and route conversation to back office if specific intents are triggered.
Implement a scalable Chat bot that can;
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simulate intelligent responses to customers questions using a consumer centric interface integrated into the website and app.
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Provide option based responses based on business rules and has transactional and survey capabilities
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KPI measurements, Active users, The number of engaged users , Deflection rate based on industry standard without a handoff to Web chat, Satisfaction rate & Minimum fall back rate to Web chat based on industry standard.
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28 126
total messages from customers
(requests or questions through Facebook messenger)
6 891
Sales forms submitted
(Hand over from the chatbot)
GotBot CustomCare
(Based on a 8 month period)
R 21.6 Million
in sales generated during the 8 month period
16 299
unique users over the 8 month period
03 Bank
Overview
Retailer required a solution to deal with the sales and acquisition process during high volume campaign periods.
A South African Retailer needed a chatbot solution to respond to an extremely high number of users during advertising campaigns and products pushes.
The bot was built to take users through a automated workflow where it then captured their details and then submitted them to their company dialer, using a custom-built integration.
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The workflow also triggered an automated credit check process during the acquistion process.
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499 212
total messages from customers
(requests or questions through Facebook messenger)
23 694
Sales forms submitted
(Hand over from the chatbot)
GotBot CustomCare
(Based on an average calendar month)
R 2 Million
in Sales generated for the retailer.
28 226
unique users
04 Retailer / Social Commerce
Overview
A bank based in Zimbabwe required a solution to deal with a large influx of messages through Facebook Messenger and WhatsApp.
Zimbabwe has seen a massive growth in connected mobile users. 2011 had approximately 1,4 Million users vs 6,7 Million in 2019.
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Due to the growth, companies have had to find methods to support users through social media platforms
GotBot was asked to tender and was awarded the project to implement.
The GotBot CustomCare chatbot was tasked to deal with the trivial questions and allow the contact centre agent to manage more in-depth customer queries all through one consolidated interface.
8 300
total messages from customers
(requests or questions through Facebook messenger)
2 024
Messages were handled by a human
(Hand over from the chatbot)
GotBot CustomCare
(Based on an average calendar month)
6 276
of replies were successfully automated via the Gotbot Customcare platform
44%
Increase in call centre agent capacity
05 Bank (Zimbabwe)