Trax Retail 17+

Trax Image Recognition

    • 3.5 • 30 Ratings
    • Free

Screenshots

Description

Trax Retail Execution is a solution that provides consumer goods manufacturers and retailers with unprecedented control and optimization of their in-store execution.
Reduce manual auditing time and maximise your sales at every point of sale.

Trax’s breakthrough mobile application is built on cutting edge computer vision algorithms unique to retail. With an advanced camera application, Trax allows the field user to take high quality images of the store shelf, have it sent to our Trax cloud and within minutes the user is sent actionable real-time mobile reports on immediate corrective actions to be taken in the store. The user friendly application delivers a robust range of reporting capabilities such as distribution, share of shelf, out of stocks, promotional presence, planogram compliance and more, with custom reports for both field users and supervisors.

Features also include: automated KPI calculations, task prioritization tools, reports highlighting gaps and opportunities, role-based task lists, targeted questionnaires and surveys, geo-located images, historical store data and offline reporting capabilities.

What’s New

Version 1.53.7

* Improved app stability and usability
* Bug fixes

Ratings and Reviews

3.5 out of 5
30 Ratings

30 Ratings

Gibsonz- ,

Робота TRAX

Очень долго загружаются результаты визита. Невозможно планомерно работать. Не корректное считывание упаковок и СКЮ.
Программа пока усложняет рабочий процес.

здорова родина ,

Труднощі фото

Труднощі фотозйомки в труднодоступних місцях

App Privacy

The developer, Trax Image Recognition, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • Location
  • Contact Info
  • User Content
  • Identifiers
  • Usage Data
  • Diagnostics

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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