VRP Privacy Policy
SOLUTIONS DESIGNED TO SYSTEMATICALLY ESTIMATE MARKET DEMAND
Be it New Product Development, Planning, or Promotions, implementing collaborative Demand Forecasting provides you with statistical / ML / AI data to support the course of action in the medium term.
VRP privacy policy
Privacy Policy for VRP Enterprise
Effective Date: 24 June 2023
This Privacy Policy describes how VRP Enterprise (“we,” “us,” or “our”) collects, uses, and discloses personal information when you use our application (“VRP Enterprise”) available on the Play Store. We are committed to protecting the privacy of our users and ensuring compliance with the Play Store Policy. By using VRP Enterprise, you agree to the collection and use of your personal information as described in this Privacy Policy.
1. Information We Collect
1.1 Personal Information:
– When you use VRP Enterprise, we may collect personal information such as your name, email address, phone number, and driver’s license details.
– We collect this information when you create a driver profile on our web portal.
1.2 Location Information:
– VRP Enterprise uses location information to track the progress of your trip and provide accurate routing.
– We collect this information while the application is in use, with your consent.
2. Use of Information
2.1 Providing Services:
– We use the personal information you provide to create and manage your driver profile and facilitate your use of VRP Enterprise.
– Your personal information is used to authenticate your identity and verify your driver profile.
2.2 Trip Tracking:
– We use location information to track the progress of your trip and provide routing assistance.
– Location information is collected and used solely for the purpose of tracking and monitoring the trip.
2.3 Communication:
– We may use your contact information to communicate with you regarding VRP Enterprise, including updates, notifications, and customer support.
3. Data Sharing and Disclosure
3.1 Service Providers:
– We may engage third-party service providers to perform various functions on our behalf, such as hosting, data analysis, and customer support.
– These service providers have access to your personal information only to the extent necessary to perform their functions and are obligated to maintain its confidentiality.
3.2 Legal Requirements:
– We may disclose your personal information if required to do so by law or in response to valid requests by public authorities.
4. Data Security
– We have implemented reasonable security measures to protect your personal information from unauthorized access, loss, misuse, or alteration.
– However, please note that no method of transmission over the internet or electronic storage is 100% secure, and we cannot guarantee absolute security.
5. Children’s Privacy
– VRP Enterprise is not intended for use by individuals under the age of 18.
– We do not knowingly collect personal information from children. If you believe that we have unintentionally collected personal information from a child, please contact us immediately.
6. Changes to the Privacy Policy
– We may update this Privacy Policy from time to time. The updated version will be effective upon posting.
– We encourage you to review this Privacy Policy periodically for any changes. Your continued use of VRP Enterprise after any modifications constitutes your acceptance of the updated Privacy Policy.
7. Contact Us
– If you have any questions or concerns about this Privacy Policy or our privacy practices, please contact us at info@inquizity.com.
8. Permissions and APIs that Access Sensitive Information
8.1 Prominent Disclosure:
VRP Enterprise utilizes permissions and APIs that access sensitive information, such as location data.
We are committed to providing transparency regarding the use of these permissions and APIs.
Prior to accessing sensitive information, VRP Enterprise will display a prominent disclosure to inform you about the purpose of accessing such information.
8.2 Consent:
By granting the necessary permissions and allowing access to sensitive information, you provide your consent for VRP Enterprise to collect and use this data as described in this Privacy Policy.
8.3 Revocation of Consent:
You have the right to revoke your consent for VRP Enterprise to access sensitive information at any time.
To do so, you can modify the permissions granted through the settings of your device.
Please note that revoking consent may limit or prevent certain features and functionalities of VRP Enterprise from functioning properly.
We are committed to adhering to the Permissions and APIs that Access Sensitive Information policy outlined by the Play Store. If you have any questions or concerns regarding the disclosure and access to sensitive information, please contact us at info@inquizity.com .
By using VRP Enterprise, you acknowledge that you have read and understood this Privacy Policy and agree to the collection, use, and disclosure of your personal information as described herein.
Benefits
Features
Multiple Heirarchy
Forecasting at multiple Hierarchies e.g. SKU-Location, SKU-Sales Office, Brand-Channel etc.
Supersession
Supersession that allows linking of old to new items to provide meaningful continuity in history for effective forecasting new product
Statistical Methods
Variety of Forecasting Techniques using efficient Python to take care of different distributions such as seasonality, promotions etc. Also allows for Outlier Detection
Classification of Products
Dynamic Classification of Products across Runner / Repeater / Stranger using different parameters of frequency, variability etc.
ML / AI Methods
Selection of different AI / ML Methods for cases where ML can be implemented
Choice of Error Methods
Selection of Techniques based on different Error Measures with ability to add custom Statistical Techniques
Some Customer Cases
On the quantitative side, we have integrated the powerful Statistical and Graphical Modelling libraries of Python. We have also connected to ML / AI libraries of WML / Google / AWS to enables the application of a variety of statistical and ML/AI techniques for different situations
Consumer Electrical Company
Enhanced visibility and transparency via S&OP suite for a consumer electrical manufacturer
Speciality Tyre Company
Implemented Demand Forecasting and Demand Aggregation for the smooth function for the manufacturing unit