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Shimoku

1.0.0

6

0

Data Analysis
Create data products and predictive analytics rapidly.
Input:
Output:
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Updated: May 28, 2023 Contact for pricing

Description

Shimoku provides a Software as a Service (SaaS) analytics and artificial intelligence solution designed to empower clients to rapidly develop tailored data products.

This AI-powered software generates predictive analytics deliverables capable of forecasting elements like customer churn, cohort patterns, user engagement, future transactions, unusual occurrences, and forecasting demand. Shimoku serves diverse sectors, notably eCommerce, Software as a Service (SaaS) companies, the Data & AI industry, along with Banking & Insurance.

The platform serves roles including CIOs, Sales Managers, and Python Developers. Shimoku delivers applications like 'Revenue Copilot', which enhances marketing and sales results, plus 'Python AI Apps' enabling data-centric product development.

Furthermore, they present an 'AI App Factory' for bespoke solutions and offer AI consulting services. Additional functionalities emphasize predicting potential upselling opportunities, enabling the instant creation of data-informed products, and offering machine learning capabilities for those without expertise, facilitating user data transformation into machine learning models. The platform also underscores transparency and understanding of its AI operations, encouraging 'explainability' to aid user understanding of their data's drivers and obstacles. In summation, Shimoku stands as a consolidated platform that ensures adaptability and efficiency in data-driven decision-making, promoting a simplified method for integrating progressive AI and data technologies.

Pricing Plans

Model
no pricing
Packages
1 Package
Price Start From
Not specified
Payment Model
Not specified

Releases

Shimoku's first public version.

Reviews

Pros & Cons

Pros

Creation of custom data products

Products with predictive analytics

Applicable to a wide range of industries

Cons

Narrow industry scope

Python proficiency required

Issues with non-tabular formats

Q&A

New Released

New Released