The Internet of Processes is Here

We read a lot of anticipated excitement on the Internet of Things (IoT). Companies today use IoT technologies to design personal devices that keep us alert while driving, protect our homes, and conserve energy. Soon, these designs will become actual devices that are part of our everyday lives.

At TECHeGO, we have a different focus when it comes to IoT that isn’t just limited to gadgets. We think of IoT as the Internet of Processes — self-learning systems that drastically increase performance. Think of every software and product imaginable. Now couple it with automations and analytics. When companies use IoT in their processes, productivity skyrockets.

A lot of companies talk about the possibilities of IoT, but we implement it. Using Podio, you can monitor all employees, projects, and devices on one platform. It's is like legos for business; you can create any type of system you can think of.

 With Podio and IoT, we built a self-learning system that organizes and automates project management and deliverables.

    • Project Type. We took 14 types of projects that an advertising agency works on. Each project is weighted by its importance on a scale of 1 to 5. For this case study, 1 is always the highest priority.
    • Project Phase. We then rank each project phase based on importance.
    • Deadline. Shorter deadlines are given a higher prioritization than longer deadlines.
    • Client. Higher paying clients are ranked higher than lower budget clients.
    • Team Member. Team members receive fluctuating rankings based on workload and efficiency. Our system analyzes how long employees take to complete projects and how many available hours they have for the work week. Assignments are automatically handed out based on these rankings.
    • Requestor. As the requestor assigns projects, the system ranks how important their projects actually are. This makes up for the project managers who mark everything as ‘critical'.
    • Rush Override. If a project deadline moves up, the project moves up in priority.

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Using this information, we created an algorithm that automatically assigns projects to different employees based on efficiency and availability.

During the first few months of use, the system tracks each employee and analyzes how long different projects typically take. As the system learns the behaviors of each employee, it begins to automatically prioritize and hand out projects.

Because it is a self-learning system, it can also tell when the behavior of an employee is off. If the productivity of your number one employee drops, the system automatically assigns him less work and lets you know. This automation gives managers insights into personal things that may be going on in each employee’s life and effecting performance.

This is the type of automation and self-learning system that businesses should implement for increased production and productivity.

You can see these innovations in the stock market. No one is out there writing articles every single day about every single stock. Stock market reports are computer generated. Other companies use systems that automatically send out reminder emails and texts for appointments. Automations increase company production because they allow people to do more of what actually drives business.

We are IoT experts. When we help companies implement IoT, they see a 90% reduction in email usage and a 98% reduction in excel and word. Our systems advance productivity and eliminate the need to micromanage.


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