Shimoku

What is Shimoku?

Shimoku is a SaaS platform that combines analytics and artificial intelligence to help businesses build custom data products with predictive analytics. It can forecast customer churn, user sessions, next purchases, cohort behavior over time, anomalies, and demand planning.

It targets CIOs, Heads of Sales, and Python developers, and fits industries including eCommerce, SaaS businesses, Banking & Insurance, and the Data & AI sector.

Shimoku ships with ready-to-use applications:

• Revenue Copilot – helps fine-tune marketing and sales efforts.
• Python AI Apps – for creating data-driven products with Python.
• AI App Factory – for fully custom solutions.

A key focus is accessibility: machine learning can be used without expert knowledge, including single-line machine learning. Shimoku also emphasizes transparency and explainability, so you can understand why it makes a given prediction — supporting faster, better-informed decisions.

Beyond the product, Shimoku offers AI consulting services. In Banking and Insurance, it is used to build predictive analytics products tailored to those industries.

Who created Shimoku?

Shimoku was developed by a Spanish company specializing in analytics and artificial intelligence solutions. The company’s goal is to make it easy for businesses to create custom data products quickly and to provide predictive analytics for factors such as churn, user sessions, future purchases, cohort behavior, anomalies, and demand.

What is Shimoku used for?

• Anomaly detection – spotting unusual patterns in data.
• Churn prediction – forecasting which customers might leave.
• Predictive cohorts – understanding how user groups behave over time.
• Next purchase and sales forecasts – anticipating customer buying and estimating future sales figures.
• Upselling opportunities – identifying chances to sell more to existing customers.
• User session prediction – forecasting how users will interact with your platform.
• Demand planning – forecasting and managing product demand.
• Marketing and sales optimization – improving campaign and sales effectiveness.
• Fast data app creation – building custom data applications quickly.
• Predictive suites for KPIs – tracking key performance indicators.
• Email marketing integration – connecting with your email marketing tools.

Key takeaways

Shimoku is a good fit if you need predictive analytics without a dedicated data science team: it offers ready-made apps, Python-based customization, explainable predictions, and consulting support for deeper use cases.