Success case AparCar.net at Shimoku

AparCar has reduced the response time to anomalies by 79% thanks to Shimoku

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The challenge

Monitoring, and maintenance analytics is key for SME with limited resources, furthermore considering that one of their key advantages in front of giants such as Wallbox is the customer service.

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Therefore AparCar needed an AI App that could track in real time the consumption of all their(...)

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Frequently Asked Questions

Don't be left in doubt. We know that we are a complex and
new product, any doubt is welcome.

What is a Data Product?

A Data Product is an asset of your company. A Data Product is a PRODUCT. A Data Product is not putting data in the center but the user. Is not thought for simply sharing but for giving a proper experience so that the right people could have the right information and insights at hand to take the right decissions. A Data Product is using Data to improve operations, decissions makings and performance of individuals, organizations and society.

What is the difference between AI Apps and Data Apps?

AI Apps are an extension of Data Apps. To share data through a web like Google Analytics is a Data App. But when that data you are sharing is partially, mostly or totally predictive data coming from AI and Machine Learning algorithms then we are talking of AI Apps.

Shimoku allows you to create AI Apps fast in few hours thanks to its predictive suites ready to forecast your KPI so that you can deliver more than historical data without needing software architecture or AI engineers or data scientists.

Why Data Apps?

Google says that 50% of the companies worldwide want to share data with their clients and providers. Data Apps are needed when you want to share data with enough people so that BI tools are no longer enough, because you have multiple pages, accounts and so many cases that cannot be handled manually but with a web such as Google Analytics. In the raising era of data products, data specialist must be free to create their own data apps without further dependencies. Shimoku allows you to create Data Apps and AI Apps without needing Data Scientists, Backends, Frontends or DevOps.

How is Shimoku helping me?

To create a Data Product in the form of Data Apps and AI Apps requires large teams of highly experienced professionals. Moreover the dependences among them are complex and delivery rates are slow and tricky. Gartner says that 85% of AI initiatives fail. Shimoku allows you to build Data Products, in particular Data Apps and AI Apps in few hours, so that you reduce the risk to 0, you do it with a single Data Engineer and you do it in hours rather than years.

How fast is create a Data App with Shimoku?

During a demo a customer told us: you have done in 20 minutes what would take a whole week for our full stack team. With Shimoku you just need to take your data, decide to whom you want to show and some metadata regarding what sort of chart, grid position, page in the App, and boom! Magically done with a single POST request

How do I create an AI App with Shimoku?

Shimoku already counts on ready to use algorithms for: Churn prediction, predictive Cohort, next purchase prediction, Sales forecast prediction and Anomaly detection. You can activate any of those suites for your data just by sending the training data to our API and activating the AI option. It happens all alone, and then you can retrieve that data back to your system, connect other tools (we already connect some of our precitions to email marketing campaign tools such as Hubspot, Mailchimp or Klaviyo). Actionable AI without Data Science nor MLOps nor a Data App team. A Data Engineer becomes a God.

AparCar has reduced the response time to anomalies by 79% thanks to Shimoku

The challenge

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AparCar has reduced the response time to anomalies by 79% thanks to Shimoku

The challenge

Do you have any questions?Frequently Asked Questions

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Supported by

Platform

Industries

Company

Legal

Resources

Social

Do you have any questions?
Frequently Asked Questions