RevenueAnalytics

RevenueAnalytics

Revenue Analytics is a tech-enabled consulting firm that helps some of the world’s biggest companies make their biggest revenue decisions – like what to charge, what to stock, and what to promote when.

The challenge is that these questions can have millions of variables and many unknown outcomes. How do you eliminate the unknowns so you can increase revenue without increasing risk?

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Our team dedicate her best science and math resources in order to complete this project successfully.

When client came to us we didn’t have ready to use solutions, formulas or prototypes. We’ve created, experimented and developed algos and formulas together.

The project got two biggest challenges:

  • using millions of rows of data about company sales to generate actionable reports and summarise it all for company analysts
  • make complex graphs and UI work fast and look slick. We used 2 different charts libraries to accommodate most of 25+ app graphs

Our team successfully developed:

  • More than 25 graphs and complex charts
  • Optimised performance with data mining and Python Pandas techniques and tools
  • Heavily customised D3.js widgets to meet project requirements

Key Technologies used:

  • Python and Django web framework
  • PostgreSQL databases
  • Celery for background tasks
  • React.js for front-end app
  • D3.js
  • Python Pandas

More Screenshots:

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Wetrok

Wetrok

Wetrok is a web based back-office for cleaning company from Switzerland. It allows company staff to track cleaning machines, set schedules, get notifications, manage load and teams.

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SoftFormance cooperated with Swiss based agency that was responsible for IoT component to integrate with cleaning machines. We closely cooperated with them to get regular events from IoT backend and serve it to web app backend.

The end result made it possible for client employees to get live stream of events and machine locations on maps.

Our team successfully developed:

  • web portal with team management capabilities
  • ability to server multiple end-clients with own locations to clean
  • cleaning machine registration
  • IoT integration with microchips on cleaning machines
  • Schedule component for cleaning machines
  • Map and live GEO updates
  • Detailed actions and history log for each cleaning machine

Key Technologies used:

  • Python and Django web framework
  • PostgreSQL and MongoDB database:s
  • Celery for background tasks
  • React.js framework for front-end

Client: Wetrok AG (Switzerland)

Solvenzio

Solvenzio

Solvenzio is online service in FinTech industry that allows it’s business customers to check if their end clients can actually pay them.

SaaS service provides two options to use it’s validation feature:

  • long-term annual subscription to monitor specific company
  • or using one-time payment validation request

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SoftFormance team developed 2 different dashboards for Solvenzio Staff and for Solvenzio Customers. So that both sides can communicate, make orders and let staff support validation requests in timely and effective manner.

Our team successfully developed:

  • Customer Dashboard with Validation Request engine
  • Staff Dashboard to let serve Customers effectively
  • Live Chat app for both user roles
  • Payment gateway integration

Custom design and UI/UX part was done by our partnering design studio QubStudio.

 

Key Technologies used:

  • Python and Django web framework
  • Django Channels for online chat
  • PostgreSQL database
  • Celery for background tasks
  • React.js for front-end app

More Screenshots:

Client: Joerg Nitzsche  (Germany)