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 Implemented Salesforce for a Leading International Organization Case Study
Case Study

Optimizing Sales Processes with an Integrated Voice of Customer (VOC) Platform

Client

The client is a multinational consumer products giant, recognized for its extensive portfolio of popular brands. The organization strives to stay attuned to consumer feedback and continuously improve its products and services. To enhance their sales processes, the client sought to leverage customer data collected across various channels for actionable business insights.

Industry

Manufacturing


Region

United Kingdom

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Challenges

The client encountered several challenges to achieving their goals. The diversity of customer comments (which came via email, social media, surveys, etc.) was greatly complicating matters. Each source had its format and content and therefore was very tough to manage to run reports with traditional systems. The growing feedback volume was adding to the difficulty of managing and analyzing feedback manually. Getting to the root cause of feedback was difficult and time-consuming, often resulting in missed conclusions and opportunities. The client wanted an efficient and reliable system to accurately summarize and classify their feedback interactions which would ultimately improve the ability to make decisions more effectively and remain competitive.

Solution

To address the challenges, the client partnered with Datamatics to roll out a complete Real-time visual analytics solution. This involved the implementation of a state-of-the-art, ML-based platform that self-evolves and learns over time, making it better at processing customer feedback and analyzing that feedback accurately. The input of data in various omnichannel customer management systems was generalized into one view to provide the client with a comprehensive set of all customer interactions. The summarization and categorization of customer feedback have been automated to allow the client to reduce manual work effort, increasing the pace and character of informed decision-making.

Impacts

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30%

Enhancement in the team's productivity

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40%

Reduction in search time with semantic intuitive
search and intelligent abstraction across millions of
direct customer responses

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25%

Increase in the decision-making process

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