How an Australian telco uses digital personalisation to target customers A major Australian telco was looking to boost retail sales by optimising digital onsite personalisation—which was becoming an increasingly important component of its overall sales revenue. Its marketing team hoped to use machine learning to target website visitors with relevant
Driving sales with intelligent customer recommendations A successful packaged goods company was interested to see how data and machine learning could drive bottom-line growth for its business. Servian recognised that there was an opportunity to help the company's sales team to have more targeted conversations with its retail channels to
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Processing audio or speech data can be challenging in any environment. This project from Servian produced a store of text files from audio in an easy pipeline on Google Cloud Platform. Servian was engaged to help create a Speech to Text pipeline for a full service, audio on demand company. The client helps creators
Deploying an interactive voice assistant and form filling with voice inputs from the ease of an Android app. One of Australia’s leading natural resource providers wanted to achieve a voice driven architecture for their employees to make use of while in the field. Servian provided a fully hosted Google Cloud Platform backend with Google
Retail Customer path analysis on Google Cloud One of Australia’s leading entertainment providers wanted to optimise customer sales in their stores for many locations across Australia. Vision and video analysis using Google Cloud Platform provided a unique opportunity for Servian to provide insights on individual shopper’s paths for the client.
One of Australia's largest superannuation funds Australian Super, with millions of members was looking for help to optimise their chatbot capability. They wanted to improve their customer experience in the chat by ensuring readily available information was provided by the chatbot, thereby freeing up people to focus on solving complex customer queries.
A large building and construction group was seeking greater insights into serious incidents with Machine Learning on Google Cloud Platform. The building and construction company sought to develop a greater understanding of the root causes from serious harm incidents. Data Science techniques using Machine Learning and text analysis were used to analyse