Shimoku – Survto AI
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Shimoku
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Data analysis (155)

Shimoku

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

Tool Information

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.

F.A.Q (20)

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.

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

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

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

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.

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

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

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

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

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

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.

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.

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.

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.

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

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

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.

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.

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

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.

Pros and Cons

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

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