The painting and decorating industry is a dynamic market. It includes a number of sectors - for example, buildings and construction; automobile finishes; furniture; medical products and other equipment.

Painting industry could gain its own competitive advantage by using AI, to cut costs and time while raising production efficiency. Colour-matching, formulation optimisation, quality control and predictive maintenance for example.

With AI we can do these things so much easier. Let’s talk about how AI can help increase efficiency and quality across our painting and decorating industry.

    Transforming the world with AI



    Image Recognition Technology

    Scan images of your wall, ceilings or other painting surfaces for a comprehensive analysis in minutes.

    Recognising materials

    Selecting the paint and preparing methods for wood, plaster, metal or drywall is correct.


    Detect cracks, mould, peeling paint, water damage, and other problems using AI detailed report.

    AI-Based Preparation Recommendations

    1. AI has the capability to show what the problem is in each imperfection and tell what the corrective actions are for it. That might mean, for example, when cracks are gone, the AI says have some filler and sand it; if you've got mould, I think you should spend a day cleaning and then use a mould-resistant primer.
    2. AI can design preparation plans according to the needs of the applications and the specific projects. These include detailed instructions for how simple projects can be completed, as well as the sort of materials likely required and the average length of time each job may take to complete. This level of specification gives details to painters and decorators so that they can plan and prepare properly so that they are completely ready even before they show up at the job.
    3. AI can also help in selecting the appropriate products to be used in the preparation. Depending on the surface material and the condition the AI suggests you the best primers, fillers, sandpapers, etc. That way you make sure you use the right products for preparing the materials.
    4. With surface analysis and preparation planning being automated, the time and effort commitment behind these tasks can be considerably lessened. This is cost savings for painters and their clients. The results will be faster, and painters can accomplish a lot more, closing more deals in less time and making more money.
    5. The AI-powered recommendations make sure that the best-practices are followed at each step of the way so as to lower the chances of any issue later down the line. This increases the customer satisfaction as well as leads to lesser callbacks for retouches or repairing.

    Applications and Advantages in Real World

    1. Residential Painting- Artificial intelligence-driven apps offer homeowners specific assessments of their surfaces and provide a plan to help them understand what is to be expected. This transparency creates a sense of trust and faith in the painting skills of the painter.
    2. Commercial Painting- Large commercial projects like office buildings, hotels, and retail spaces call for intricate planning and execution. AI eliminates the time and effort it takes to assess each and every surface that requires work, making sure that is correctly prepared for the jobs ahead amounting to hundreds of those projects every year.
    3. Historic and Specialty Surfaces – Professional painting or decorating historic buildings or specialty surfaces such as murals and decorative finishes. For the surfaces that are unique as well as non-renewable, AI can help to determine the condition of these surfaces in addition to making specific suggestions on how to preserve and restore them.
    4. DIY - This is also handy for DIY enthusiasts who endeavour to paint their own homes but do not possess the experience and expertise of a professional painter. The apps will be able to walk them through surveying and preparing the surface themselves so that they can produce comparable results to the professionals.

    AI for Painting and Decorating in the Future

    1. Smart Devices Integration - AI enabled surface analysis tools could be integrated with smart devices such as drones or robotic painters. These could automatically scan and prep surfaces, saving increasingly scarce human labour and increasing efficiency.
    2. Augmented Reality (AR) -AR goggles or apps could beam instructions and suggestions directly onto a surface, walking painters through every part of the process.
    3. Continuous Learning & Improvement - AI Algorithms can learn continuously and improve themselves with feedback from the last projects. That way, the more mistakes it corrects, the more accurate and effective surface analysis and preparation recommendations will be.
    4. Environmental - AI can recommend eco-friendly products and reduce overall environmental impacts from painting projects by minimising waste via accurate material estimation.

    The Importance of Quoting Properly

    1.Providing an exact quote hence in turn creates a trustworthiness and in the end the client walks away more satisfied as it limits the shock of unexpected extras outside the quote and makes the client feel they get the value for the dollar spent on the job.

    1. The ability to properly plan a project really relies on how effectively you are able to get a quote from painters. Doing this thing, the project remains in the right path and budget by forecasting the materials, labour, and time required.
    2. Painters can gain a competitive lead by creating precise and competitive quotes. The service is paid, and the more people trust it.

    Traditional Quotations

    1. Painters on site assess areas that needs to be painted. Manually inspection and measuring is performed at this stage.
    2. Measurement of walls, ceiling and other surfaces to estimate the paint requirement. However, this process can be slow and error prone.
    3. Surface preparation includes sanding, priming, and filling the surfaces. This is the evaluation of a painter with a people sense.
    4. There is a minimal cost associated with the material and labour only billed for measurements and condition assessment. This also predict how long the project will take.
    5. A quote for the clients to at what rate per sft. or per ltrs. or per days/months/hours/booking are costing. Some projects may require more time, especially larger or more complex projects.

    The Effect Of AI In The Painting Industry

    Artificial intelligence (AI) is going to have a huge impact on the painting and decorating industry.

    Work will look different, projects will be completed faster, and skill demand will change

    Enhanced efficiency

    The most immediate, visible effect of AI (at least for the general population) has been in painting, with huge strides in efficiency made by AI. 

    Surface preparation, measurements and manual inspections are all time-consuming aspects of traditional painting projects. 

    By automating these tasks, painters can just paint, thanks to the power of artificial intelligence. 

    Some of the ways AI is used to increase efficiency is:

    1. Thanks to photo and video analysis, apps that make use of AI, have the ability to identify the things that are on surfaces and the state they are in. With this automatic analysis, painters can easily know what each job calls for, speeding up the initial assessment process.
    2. AI allows for the measurement of hard-to-calculate surface areas. The material has measurable quantities reducing waste and the need to order paint and materials.
    3. It can also assist project leaders in ensuring the quality of the provided resources and delivery in a more precise schedule. AI ensure superior planning and timely completion of projects with evaluation done from the data of completed projects.
    4. Quality is maintained as these AI tools analyse and provide recommendations continuously. This in turn reduces mistakes and rework and hence improves efficiency even further.


    Developing skills

    One of the common myths about AI is that it will reduce human jobs. 

    Therefore, this is the painting and decorating industry AI future we all live with so, it is highly probable that AI will not replace the existing workforce but quite possibly enforce their skills instead. 

    Below are top 10 ways through which Artificial Intelligence helps Painters to become more skilled -

    1. AI offers not just recognition capabilities but also can train and develop a painter in new techniques and methods as well. For those more interested in learning to paint on a controlled environment, practicing on refining their skills, AI-powered interactive training programmes, like Jingling or even Affinity Photo (not AI), would be a great start.
    2. Painters can have real-time advice from AI. For example, AI-powered devices can offer guidance with step-by-step instructions and provide surface type / condition specific recommendations. This contributes to better decision-making by artists, but it also improves their skill set.
    3. The use of AI tools has led to more precision and accuracy for painters. For example, straightening of the lines and coating of the surfaces may be even done by automated measurement tools. This creates more precise results, resulting in a better finish with less need for corrections.
    4. By allowing AI to automate all monotonous jobs, human paint applicators could be re-allocated to the more complex processing, only ever achievable through human experience. This sort of switch will increase productivity and lets one become specialized painters.


    New Job Openings

    1. AI specialists: Trained to develop and maintain all artificial intelligence involved in the painting industry. AI algorithms will be improved for correct AI analyses and expand features to fulfill the needs of the painters.
    2. AI trainers: AI tools will continue to proliferate and there will be a growing need for guides to train painters how to use them. AI training programmes will be designed and workshops, led by trainers, will be organised, who will also offer continuous support to painters.
    3. Data Analysts: AI produces data that can be implemented to optimise workflows. This data will require them to pick and interpret data, find trends and make recommendations. This aspect will become increasingly important in the relentless evolution of the entire sector.
    4. Technical Support - Like all technology, AI specialists will provide technical support for the working of AI tools and also for the testing, maintenance and updating.


    Wider Implications

    Those who are early to deploy AI technologies will have a significant head start. 

    1. Accuracy - The better, faster and even more accurate service the companies offer, the more clients will choose them and the more contracts they will sign
    2. Sustainability - AI can help make painting more sustainable By executing the optimal usage of materials in a painting job it can be carried out without a negative environmental impact and with minimal waste, due to the actions of AI. Artificial intelligence can also support in proposing sustainable materials and how they are Could be applied.
    3. Satisfied Customers - AI is so fast and accurate that customers are as happy as can be. Results of high quality and perfect, projects are turned around quickly, so quick delivery is what clients need. 
    4. Make customers - Returning customers who refer you to others - by satisfying them.
    5. Innovation and growth: AI helps in increasing the level of innovation in the industry. New AI tools and approaches can help in increasing productivity and to enable companies with new services.