Accelerate time-to-market

Do-it-yourself: these 5 startups are the talk of the town!

DATE: 05/05/2022

The trend of Do it yourself (DIY) is a well known anglicism in France. If in do-it-yourself, the home-made seduces more and more households each year, it knows a new boom since the Covid crisis. For cause, the interior works have never been as much requested as in period of confinement. With the observation of a general decline in sales all sectors combined in 2021, the DIY has recorded a net increase of over 10%. Today, it is inflation that is accentuating this phenomenon by pushing consumers to find new low-cost DIY solutions. Which companies are disrupting the market? How is AI being used byinnovative DIY startups? Zoom in on a rapidly expanding sector.

Innovative startups in the DIY sector: who are they? 


Created in 2012 by Geoffroy Maleterre, Spareka is a DIY platform that allows its users to diagnose themselves the breakdowns encountered on their household appliances and other equipment. Thanks to an intuitive search system, Spareka identifies and proposes the part to be replaced for purchase. To go further, the user can also consult video tutorials to become completely autonomous in his repair process. Thanks to its technology, Spareka not only allows to find solutions that respect the budgetary constraints of its customers but also to fight against programmed obsolescence. With a meteoric rise and more than 8 million references of spare parts, the company presents itself as one of the most promisingDIY start-ups in its sector.


Launched in 2014 by Guillaume de Kergariou, NeedHelp is a jobbing platform that connects individuals or professionals with people looking for small services. These services can concern the realization of do-it-yourself work but also babysitting or moving services. The initial aim of the start-up is to provide services to neighbors, and the user is geolocated so that the platform can detect the closest craftsman to his home. Through its growth and the signature of prestigious partnerships such as with Bricorama, Brico Dépot or Castorama, Needhelp's ambition is to become the leader of jobbing in France within the next two years.  


Introduced to the market in 2014 under the name Hellocasa by Benjamin Rezzak, brothers Julien and Matthieu Desarnauts, the famous DIY platform now bears the name IZI Solutions since 2019. By opening its network of artisans and professionals to individuals, Izi by EDF accompanies its customers in carrying out small jobs, from the estimate to the start of the project. Troubleshooting, insulation, carpentry, energy renovation and other projects for individuals, the creation of an e-commerce platform allows the user to buy products directly on the site. Since its creation, the do-it-yourself startup has forged partnerships with major retailers such as Darty, BHV Le Marais, Ikea and Bricorama.


Propelled in 2013 by Philippe de Chanville and Christian Raisson, Mano Mano has risen to become the European leader in online DIY and gardening in just a few years. Recording more than 20 million visits per month and with over 2.5 million active customers, the French Tech startup has continued to grow since its inception. It is as of April 1, 2019 that ManoMano announces a fundraising amounting to 110 million euros. The online DIY site is now present in Italy, the UK, Germany and Spain and plans to accelerate its growth with the doubling of its workforce by the end of 2022.

My DIY Coach

Founded in 2015 by Dimitri de Cruz, Mon Coach Brico offers a home tutoring service through the booking of a specialized coach. By benefiting from the advice of their network of experts and a realization of work from home, the startup estimates a saving of 60 to 80% of the overall cost compared to market prices. By addressing all novices, Mon Coach Brico is thus part of a desire to democratize access to DIY work. Thanks to its success, the start-up now has more than 700 professionals in several categories: electricians, painters, masons and plumbers. Mon Coach Brico is now a partner of Leroy Merlin as well as Bosh, Bricorama and Bricomarché.

Unifai's expertise: AI applied to the DIY vertical

The example of Gedimat

Gedimat is the largest independent group of building materials and tools retailers in Belgium. With more than 490 stores, Gedimat used to operate 200 ERP systems to manage all of their members' article repositories. Considering the enrichment of the databases with the entry of new references on a daily basis, the absence of a centralized information system was generating important time-to-market problems. In order to accelerate their digital transformation, it was then necessary to bring these databases together to converge them into a single database. An improvement that would give them a strategic advantage in the management of their e-commerce site.

What modules are used? 

Thanks to our dedicated modules, Unifai's teams were able to unify several thousand pieces of data in record time. The matching module made it possible to switch the databases to a single information system and to categorize each reference automatically. This module also allowed to reconcile the 200 ERP systems to create a centralized database. Gedimat has also benefited from the classification module (formerly categorization module) where each member is free to import and export its catalog files in order to automatically classify the products according to the hierarchy of the e-commerce site.

What are the results? 

With a result of more than 25,000 products categorized by Unifai per month and 200 ERPs reconciled on a central ERP, our services have reduced all the repetitive tasks of the teams. The considerable time saving on the work of the business teams has resulted in a better time-to-market. Download the complete Gedimat x Unifai study on our website.

The example of Algorel

Algorel, a group of 150 independent companies specialized in the distribution of buildingmaterials, has a physical network of 750 sales outlets. In a phase of digital transition, data is a key issue to ensure the group's expansion. With a product repository insufficiently structured to ensure the distribution of an exploitable online catalog, Algorel could not launch into e-commerce. Unifai's solution allowed to reconcile AI and the DIY sector by automating the data and categorizing the products according to the customer's nomenclature around a PIM.

What modules are used? 

Algorel has thus benefited from several modules, including the standardization and mapping module, which makes the Unifai platform available to import the catalog files to be standardized and structured. The group also benefited from Unifai's automatic classification service while keeping their own nomenclature.

What are the results?

With 30,000 products categorized per month, Algorel has succeeded in accelerating their digital transition thanks to a cleaned file that respects the standards of their sector. " The artificial intelligence solution is a real opportunity, with a database of 3,000,000 items, manually categorizing this data was not an option. Automating this task is a real added value for the teams. "Dimitri Both - Executive Director. Download the complete Algorel x Unifai study on our website.

Check out examples from 3 other customers in this white paper, "How has AI cut retailers' time-to-market by 3?"

What to remember ...

The application of artificial intelligence to the do-it-yourself vertical accelerates the growth of a dynamic sector that promotes new consumption models. Through the examples of Gedimat and Algorel, the automation of data applied to the DIY market allows tointervene on several thousands of references instantly. AI thus meets the challenges of saving time internally and accelerating time-to-market. After having taken up the challenge of implementing AI in the retail sector, Unifai's solutions are now being deployed with the DIY industry to provide them with its data normalization and enrichment technology. Thanks to the adaptation of our modules according to your objectives and to a customized analysis of your catalog, Unifai reconciles DIY and machine learning to optimize your performance in record time.

If you want to know more, please contact us or request a demo.

Caroline Bultez

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