Download PDF
Pital & Co: Streamlining Financial Forecasts with IoT and No-Code Platform
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Cement
Use Cases
- Building Automation & Control
- Time Sensitive Networking
Services
- Data Science Services
The Challenge
Entrepreneurs, investors, and founders often face the challenge of keeping their financial forecasts and valuations up to date. This process often involves hiring and updating firms, employees, and freelancers, which can be time-consuming and costly. The need for real-time financial forecasts and valuations is crucial for these individuals to stay on budget and understand the worth of their businesses. Joe Schnetzler, the founder of Pital & Co, identified this problem and sought to provide a solution that would streamline this process and make it more efficient.
About The Customer
Pital & Co's primary customers are entrepreneurs, investors, and founders who need to keep their financial forecasts and valuations up to date. These individuals often have to engage in the painstaking process of hiring and updating firms, employees, and freelancers to keep their financial information current. With Pital & Co's app, they can get financial forecasts and valuations in seconds, helping them stay on budget and understand the worth of their businesses in real-time. The app's user-friendly interface and efficient algorithms make it an invaluable tool for these individuals.
The Solution
Pital & Co developed an app that uses machine learning tools to generate financial forecasts and valuations in seconds. After signing up, users are guided through an initial onboarding process before they head over to the Projections tab. Here, they input their past financials, marketing budget, and any other relevant information. The app's algorithms then automatically project the user's revenue for the next five years, as well as their cash flow. Once the projections are complete, users can head over to the Financials section, where they can import their projections and input additional information. Upon hitting submit, the valuation is computed and a valuation summary appears. The app was built on Bubble, a no-code platform, which allowed for a faster and more cost-effective development process.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Commercial Building Automation Boosts Energy Efficiency
One of the challenges to building automation is the multitude of non-interoperable communications protocols that have evolved over the years. Buildings have several islands of automation. Bridging the islands of different automation without losing the considerable investment in each specialized control network is the main focus in this solution.
