Shimoku

Build any kind of Data Products in hours with AI capabilities.

Data Analytics Software as a Service Predictive Analysis eCommerce Data Products Banking and Insurance Sector

Tool Information

Primary Task	Data analysis
Category	data-and-analytics
Sub Categories	data-analysis predictive-analytics e-commerce
API Available	Yes
Country	Spain

Shimoku is an analytics and artificial intelligence SaaS (Software as a Service) solution aimed at enabling customers to build custom data products quickly. The AI-equipped software is able to produce predictive analytics products that can anticipate various factors such as churn, cohort behavior, user sessions, future purchases, perceived anomalies, and demand planning.Shimoku caters to a variety of industries, including but not limited to, eCommerce, Software as a Service (SaaS) businesses, the Data & AI sector, and Banking & Insurance. The platform is designed for roles such as CIOs, Heads of Sales, and Python Developers.As part of its offerings, Shimoku provides different applications like 'Revenue Copilot' that helps optimize marketing and sales performance, and 'Python AI Apps' that allow the creation of data-driven products. Additionally, they also offer an 'AI App Factory' for custom solutions and provide AI consulting services.Other features highlight the ability to predict upselling possibilities, the capacity to create data-driven products in minutes, and the provision for machine learning for non-experts, allowing for user data to be transformed into machine learning models.The platform also emphasizes transparency and comprehension of its AI processes, promoting 'explainability' to help users intuitively understand the drivers and barriers of their data.Overall, Shimoku represents a unified platform promising agility and efficiency in data-based decision making, fostering a more streamlined approach to adopting advanced AI and data tools.

Shimoku is a technology company based in Barcelona, Spain, founded in 2020. It focuses on using data and artificial intelligence (AI) to improve business functions across various sectors, including automotive, e-commerce, insurance, retail, and both B2B and B2C SaaS.

The company offers a platform that enables marketing and sales teams, founders, and Python developers to create and implement AI-driven applications. Shimoku's technology integrates Machine Learning, Explainability AI, and Generative AI to identify opportunities, provide insights, and personalize proposals. Its AI Predictions Catalog combines these AI types to deliver actionable solutions that enhance business performance.

Shimoku aims to enhance CRM systems by increasing lead conversion, optimizing cross-selling and upselling, and improving customer retention. The company also supports professionals with resources for dynamic learning and tailored content.

Pros
Custom data product creation Predictive analytics products Wide industry applicability Optimizes marketing sales Supports Python development Predicts upselling opportunities Data-driven products Machine learning for non-experts Streamlined data decision making Revenue Copilot application Churn cohort behavior anticipation User session prediction Future purchase prediction Demand planning Anomaly detection Trusted by numerous companies Provision of Success cases Tech Docs availability World-class visuals charts Real-time data flow Machine learning in minutes No Back-end/DevOps required Can increase revenue significantly API for community use Fast data app creation Single-line machine learning Churn prediction algorithm Predictive cohort feature Next purchase prediction Sales forecast prediction Quick efficient data transformation Actionable understandable outcomes Predictive suites for KPI Connected to email marketing

Cons
Limited industry focus Requires Python knowledge Difficulty with non-tabular data Secrecy around algorithm types Limited ready-to-use algorithms Lack of transparent pricing Too complex for beginners Limited data visualization options Limited customization options Dependent on Shimoku's templates

Management Team

Sergi Ortiz Rodriguez

Founder & CEO

Frequently Asked Questions

1. What is Shimoku?

Shimoku is an analytics and artificial intelligence Software as a Service (SaaS) solution. It enables customers to build custom data products swiftly and provides predictive analytics products that can foresee various factors like churn, user sessions, future purchases, cohort behavior, perceived anomalies, and demand planning.

2. Who is Shimoku aimed at?

Shimoku is aimed at roles such as CIOs, Heads of Sales, and Python Developers.

3. What industries does Shimoku cater to?

Shimoku serves a variety of industries including eCommerce, SaaS businesses, Banking & Insurance, and the Data & AI sector.

4. What roles does Shimoku target within an organization?

Within an organization, Shimoku targets roles such as CIOs, Heads of Sales, and Python Developers.

5. What applications does Shimoku provide?

Shimoku provides applications like 'Revenue Copilot' for optimizing marketing and sales performance, and 'Python AI Apps' for enabling the creation of data-driven products. It also offers an 'AI App Factory' for customizable solutions.

6. What is the 'Revenue Copilot' application in Shimoku?

'Revenue Copilot' is an application in Shimoku that assists in optimizing marketing and sales performance.

7. What is 'Python AI Apps' offered by Shimoku?

'Python AI Apps' offered by Shimoku are tools that allow for the swift creation of data-driven products.

8. What services does Shimoku's 'AI App Factory' provide?

Shimoku's 'AI App Factory' offers custom solutions. It's a service where you can build tailored AI Apps for specific business needs.

9. Does Shimoku offer AI consulting services?

Yes, Shimoku does offer AI consulting services. They provide expert advice on creating and implementing AI applications.

10. What can Shimoku predict?

Shimoku can predict a variety of things including churn rate, cohort behavior, user sessions, future purchases, perceived anomalies, and potential for upselling.

11. What are the features of Shimoku that facilitate data product creation?

Features of Shimoku that facilitate data product creation include the ability to quickly create data-driven products and the provision for machine learning for non-experts, which allows user data to be swiftly converted into machine learning models.

12. Does Shimoku support machine learning for non-experts?

Yes, Shimoku does support machine learning for non-experts. It boasts single-line machine learning, which allows non-expert users to create machine learning models from their tabular data.

13. What does Shimoku mean by promoting 'explainability'?

By promoting 'explainability', Shimoku is emphasizing transparency in its AI processes. It's about helping users intuitively understand the driving factors and barriers in their data, allowing them to see what's behind the AI's predictions and outcomes.

14. What benefits does Shimoku provide for data-based decision-making?

Shimoku provides a unified platform for agile and efficient data-based decision-making. It fosters a streamlined approach to incorporating advanced AI and data tools, helping businesses make data-informed decisions swiftly.

15. Does Shimoku offer support or assistance for Python development?

Yes, Shimoku too provides assistance for Python development. Through Python AI Apps, Python developers can create data-driven products swiftly.

16. Can Shimoku help optimize sales performance?

Yes, Shimoku can aid in optimizing sales performance. Its 'Revenue Copilot' application is designed specifically to enhance marketing and sales outcomes.

17. Can Shimoku be used in the Banking and Insurance sector?

Yes, Shimoku can be utilized in the Banking and Insurance sector. It offers data products and predictive analytics that can provide valuable insights for these industries.

18. What kind of data-driven products can I build with Shimoku?

With Shimoku, users can construct any type of data-driven products. This can range from predictive analytics products foreseeing user behavior or upcoming purchases to detecting anomalies and planning demand.

19. Can Shimoku help predict user behavior?

Yes, Shimoku can predict user behavior. It can anticipate various factors like churn rate, cohort behavior, user sessions, and future purchases.

20. How does Shimoku encourage transparency and comprehension of its AI processes?

Shimoku promotes transparency and comprehensibility of its AI processes through 'explainability'. It ensures its users can intuitively understand the drivers and barriers of their data, providing clarity on the workings and results of the AI's algorithms.