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The proliferation of online reviews is a goldmine for customer experience analysis. Our AI solution automates the processing of this data to offer you innovative data-driven solutions that improve your performance.

Functionalities

    Bring together all your customer evaluations

    Use AI to analyze unlimited customer feedback in real-time, collected from internal sources or online reviews.

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    Aggregate all customer feedback and integrate all e-Reputation tools into a single platform.
  • Automate competitive analyses

    Track the evolution of customer satisfaction and measure the impact of your marketing campaigns, your customer experience projects, etc.

    Screen DeepR
    Compare your customers' feedback with your competitors' or your points of sale performance with one another.

have a look at Deep Review

They trust us

  • Public Service

    The public service company uses Deep Review to improve the customer experience in its branches by deciphering the weak signals of customer perception.

  • French energy company

    To improve customer satisfaction and understand areas for improvement in its service offering, this energy specialist relied on Deep Review to conduct an analysis of satisfaction surveys.

  • French governmental entity

    To better target health risk establishments and better protect the consumer, Deep Review helped leverage online customer reviews to automate the detection of health and hygiene non-compliance in food and beverage establishments.

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Our publications

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How to avoid GDPR issues using GAN (Generative…

With Big Data development, we have seen in those last decades the emergence of many issues raised by the massive use of data. In particular, personal data protection issues are pervasive for companies that store their customers’ data.

2022

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erp

A journey to state of the art performances in…

This article tackles the methods that are currently most useful to address Topic detection and classification.

2022

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Data driven customer segmentation: Deep dive on…

In the previous article, we described the generic approach to define an actionable data driven customer segmentation. In this article, we will explain in detail the clustering and interpretation steps, focusing on data processing methodologies and data science algorithms.

2022

Read more