
When this happens...
Automatically do this!
Enable Integrations or automations with these events of Sales Play and Coursera: Data Science Specialization
Find the list of categories from SalesPlay POS.
create or update a category from SalesPlay POS.
Find products available in SalesPlay POS.
Create or update a SingleProduct in sales play.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Sales Play and Coursera: Data Science Specialization accounts to viaSocket. Once connected, you can set up a workflow where an event in Sales Play triggers actions in Coursera: Data Science Specialization (or vice versa).
Absolutely. You can customize how Sales Play data is recorded in Coursera: Data Science Specialization. This includes choosing which data fields go into which fields of Coursera: Data Science Specialization, setting up custom formats, and filtering out unwanted information.
The data sync between Sales Play and Coursera: Data Science Specialization typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Sales Play and Coursera: Data Science Specialization. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
SalesPlay is a comprehensive cloud-based point of sale (POS) system designed to streamline sales processes, manage inventory, and enhance customer experiences. Ideal for businesses of all sizes, SalesPlay offers robust features including real-time sales tracking, detailed reporting, and seamless integration with various payment gateways.
Learn MoreMaster the art of data science with Coursera’s Data Science Specialization, created by Johns Hopkins University. This program guides you through the full data science pipeline—from data wrangling and statistical analysis to machine learning and data visualization—using R and real-world projects.
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