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Color Maker is a computer simulation of mixing colorants to generate a resultant true colour on screen. It can be described as the infinite shade card. It has obvious advantages to offer the paint coatings and printing ink industries, which are defined. However, applications can be made for Color Maker in all colour‐using industries. An example is given of its development as an accurate tool in determining true colours on pharmaceutical tablet coatings. Here, it evaluates the colour on the tablet in a three‐dimensional rendering of the colour, and produces what can be termed a three‐dimensional shade card.

The goal of concurrent or simultaneous engineering is to move a product concept based on a market need to a manufactured and marketable product in the shortest possible time and with minimum cost. The concurrent engineering approaches, processes, and systems should find increasing practical applications in the coming years. Several recent technological advances should help expedite this process.

Telecommunication has a decisive role in the development of technology in the current era. The number of mobile users with multiple SIM cards is increasing every second. Hence, telecommunication is a significant area in which big data technologies are needed. Competition among the telecommunication companies is high due to customer churn. Customer retention in telecom companies is one of the major problems. The paper aims to discuss this issue.

The authors recommend an Intersection-Randomized Algorithm (IRA) using MapReduce functions to avoid data duplication in the mobile user call data of telecommunication service providers. The authors use the agent-based model (ABM) to predict the complex mobile user behaviour to prevent customer churn with a particular telecommunication service provider.

The agent-based model increases the prediction accuracy due to the dynamic nature of agents. ABM suggests rules based on mobile user variable features using multiple agents.

The authors have not considered the microscopic behaviour of the customer churn based on complex user behaviour.

This paper shows the effectiveness of the IRA along with the agent-based model to predict the mobile user churn behaviour. The advantage of this proposed model is as follows: the user churn prediction system is straightforward, cost-effective, flexible and distributed with good business profit.

This paper shows the customer churn prediction of complex human behaviour in an effective and flexible manner in a distributed environment using Intersection-Randomized MapReduce Algorithm using agent-based model.