Mike Dedunovich shared expertise how the Infinium development team trained Artificial Intelligence to determine profitability reserves of enterprises or, more simply, new ways to save.
At the first stage, the research group included road transportation and logistics of delivery of goods to stores and E-commerce. Let’s talk about what results the developers got and how much money companies are now saving.
This could be a revelation for businesses
The instruments used to conduct the research are interesting.
Infinium IT-specialists managed to accumulate big data (Big Data) on the behavior on the road of about 100,000 anonymous drivers over the course of 20 years. Analysis of this data using modern means made it possible to identify the best practices so that any enterprise could compare the work of its transport department with them.
With the help of OptiDriving (an analysis service based on Big Data and AI), it became possible to see each driver in the overall rating of the financial efficiency of drivers in his industry. Simply put: how many people in the labor market can travel this route with less fuel and vehicle life (for the same time in the same conditions on this car)?
The result surprised everyone. Even in a well-established trucking industry, about 10%–15% of costs are objectively unnecessary and easily eliminated. And in transport logistics for B2B and B2C delivery, the profitability reserve is 30%–50%.
In addition to the obvious cost savings, the tool will also be useful for HR services: what is the probability of finding a better driver on the market? Who should be lured away from competitors and how much is it economically justified to pay them?
Now you can consider each candidate not as a “black box”, but literally “shine through” him at the entrance to the company, and form a financially effective team.
As a result, the company’s historical cost levels can be reduced without pressure from management.
Managers will be able to rely on digitized experience
It also turned out that the accumulated large database of traffic on roads with a depth of 20 years can predict traffic on routes for any day. And it allows LOGIMUS Artificial Intelligence to create a financially optimal task for each driver. Moreover, the task is as intense as possible, but at the same time guaranteed to be feasible, taking into account traffic, queues for unloading, etc.
This helps to avoid people’s dissatisfaction: optimally balance between profitability and work intensity of employees
Thus, the big data processed by our team promises to enable the manager to make decisions based on the digitized experience of successful practices in similar situations of thousands of other enterprises. Artificial intelligence LOGIMUS has become capable of analyzing various delivery strategies and suggesting a compromise between customer focus and profitability.
Infinium developers emphasize that the final decision is still made by a person. But the financial validity and transparency of his decisions increases dramatically, as does the profitability of the business.
