Sensai Releases

What's New?

This article summarises all the releases of Sensai, including details on changes that have been introduced within each version, starting with the most recent Generally Available release.

Release 1 | 23rd October 2019

• New!  Sensai Guided Selling - provides sales executives with a simple, yet immensely powerful component that guides sales users to perform the most impactful actions and behaviours whilst indicating the impact these behaviours have had and will have, on the likelihood of each individual opportunity closing.

  • The Opportunity Prediction Indicator is displayed within the component and provides a real-time prediction (0 to 100) of the likelihood of the Opportunity successfully closing. This prediction is driven by your business's unique AI Model. Any activities performed on Opportunities will trigger a dynamic update of the Opportunity Prediction and likelihood of successful closure.

  • To accompany the Prediction Indicator, a Past Actions indicator and timeline are also displayed within the component. These map the history of how the prediction has changed over time. This sparkline plots the individual Behaviours that have been performed previously on the Opportunity, including when they were performed and the prediction at that point in time.

  • The Next Best Actions element with the component provide sales users with a context-sensitive list of the most impactful and likely Behaviours that can be completed at that specific point of time for the Opportunity. These recommendations are derived by Sensai’s deep learning capabilities and, when completed, are intended to increase the likelihood of Opportunity closure.

  • Each recommendation that is displayed provides a name and description as to what the Behaviour is that can be performed at that point in time. The recommendations also include an Impact Indicator that, when revealed, displays the Prediction uplift that will occur after the Behaviour has been performed.

• New! Sensai Forecast Predictions - provide businesses with a holistic view of the performance of their open Opportunities in their pipeline. Sales Leaders and Sales Operations can instantly assess the health of the pipeline using the prediction data from the Sensai platform.

  • The Sensai platform can integrate directly with existing BI and reporting tools, allowing the Opportunity data generated by Sensai’s unique AI algorithms to be surfaced without the need to use additional tools or services. Forecast predictions for all open opportunities can be generated on a frequent basis, allowing sales leaders and operations to benefit from the latest forecast predictions provided by the Sensai platform.

  • Sensai is able to generate Opportunity Close Indicators across all open Opportunities for specific environments - whether that be production or sandbox. These indicators represent the likelihood of Opportunities closing at that point in time, and this information can be used within existing forecasting reports and dashboards to provide an alternative perspective to the traditional Forecast.

• New!  Sensai Admin App - is an easy-to-use and intuitive cloud-based administration console provided for Sensai customers, allowing them to manage their Sensai users, data and integrations with 3rd party applications that they may also choose to leverage.

  • The Sensai console enables users to either manually upload or dynamically import their Opportunity and activity data into the platform from their environment, e.g. Salesforce. Providing the data is in a CSV format, the datasets that are created in the console can be immediately used to create Models tailored to your environments.

  • Unique AI Models can be created and tailored in the console, then trained and deployed to all of the environments that are linked to your Sensai account. Sensai enables businesses to create and train multiple Models and then deploy them to their environments - both production and sandbox.

  • Sensai’s environment deployment technology is truly flexible in that it allows different Models to be deployed to both production and sandbox environments at the same time, therefore allowing customers to test new Model configurations in a sandbox before deploying them to live production environments.

  • Within the Sensai console, users can view the Training Accuracy of the Models that have been created to understand how accurate the model is based on the dataset and training parameters that have been used. Users can also access graphs that display information as to how the Model’s accuracy and loss have changed during the training process.