Kolatr Logo

Frequently Asked Questions

Still have a question? Contact us and we'll get back to you as soon as we can.

We integrate with retail tools including ERP systems, POS, foot traffic counters, ecommerce platforms and more. This enables our retail-specific AI assistants to uncover trends, correlations and actionable insights across your organisation.
We're built for retail leaders from the C-suite through to the store level, across all departments such as merchandising, operations and more.
In the kolatr app, you can use the Support form in the navigation menu or the 💬 icon at the bottom right. Alternatively, you can email our team at hello@kolatr.com
We integrate with ERP systems, POS, ecommerce platforms, foot traffic counters and more. If we don't already connect to your system, we'll work with you to do so.
We regularly refresh the data - currently, we update it more often than hourly.
We use industry-leading best practices, including but not limited to:
  • Firewall protection

    We securely import data using the same techniques as Google and Amazon to firewall data and maintain privacy and security.

  • Multi-layered encryption

    Our underlying platforms are configured with industry leading security including: data encryption at rest, data encryption in transit using secure sockets, hardware two-factor authentication on all administration accounts, end point security, and more.

  • Anonymised data to protect identification

    We ensure complete data privacy by K-anonymity, an academically proven approach so users can only view information once there are enough inputs to ensure anonymity.

We use a variety of statistical methods so your data can be shared without any identifying details. This includes:
  • K-anonymity: We only show cohort data when the group of retailers is large enough to maintain anonymity. If the sample size is too small, we simply won't show the data.
  • Brand Name Confidentiality We never show your brand name to other retailers, so you can safely compare store-level KPI data without compromising your identity.
  • Anonymised, Relative Data: The data is presented in anonymised, relative terms. For example, the cohort average sales LFL LY is -10%, instead of an exact dollar figure.
You still own the rights to your data, and upon request or termination of an agreement, we will delete your data within 30 days. However, we retain the right to your historical anonymised and aggregated cohort data, as removal would impact previous cohort analyses. If you'd like more information, you can email Ben, our CTO, at ben@kolatr.com
We'll reach out to discuss your requirements and our commitments to accessing your data securely. Once confirmed, we'll request access to your tools, configure the kolatr app according to your preferences and send you an invite to log in.