Integrate wizishop with BigML to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Start from a real workflow other teams are already running.
wizishop
When this happens...
Sku Event
Customer Event
BigML
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Create Anomaly Score in Bigml when Sku Event in WiziShop
Use this flowCreate Centroid using BigML when Sku Event in WiziShop
Use this flowCreate Prediction in BigML when Sku Event in WiziShop
Use this flowFind Resource in Bigml when Sku Event in WiziShop
Use this flowList Sources from BigML when Sku Event in WiziShop
Use this flowList Datasets from BigML when Sku Event in WiziShop
Use this flowList Sample from BigML when Sku Event in WiziShop
Use this flowList Model from BigML when Sku Event in WiziShop
Use this flowList Time Series from BigML when Sku Event in WiziShop
Use this flowList Evaluations from BigML when Sku Event in WiziShop
Use this flowEverything you can automate between wizishop and BigML.
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a SKU is created , updated or deleted.
Trigger when a customer is created,deleted or updated.
Triggers when a new resource is created
Action is the task that follows automatically within your wizishop integrations.
Create a new brand using a name and optional image URL.
Update a product SKU's stock quantity by increasing, decreasing, or replacing the amount.
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets
Finds a resource

Follow a simple walkthrough to create, test, and launch your first automation.
Connect your apps
Link the apps you want to automate.
Configure your workflow
Set up triggers, actions, and map your data.
Test & publish
Test your workflow and publish it.
Recognized by leading review platforms and trusted by 10,000+ businesses worldwide.
Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.

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WiziShop is an all-in-one e-commerce platform with cloud-based solutions to gain visibility and sell products and services online by harnessing the power of SEO.
Learn moreBigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn moreSign up for a free viaSocket account, then authorize both your wizishop and BigML accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between wizishop and BigML as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach BigML. No coding required.
Yes. You can set up a workflow where wizishop triggers actions in BigML, and a separate workflow where BigML triggers actions in wizishop. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between wizishop and BigML. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire wizishop and BigML integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.