Gorilla Shop – An EU Project Leveraging AI in the Construction Industry

Problem:

The construction industry faced a lack of modern tools that could accelerate and streamline the process of finding construction materials and tools. The main challenges included:

• Difficulties in product identification: Users often struggled to manually search for suitable materials and tools in extensive product catalogs.
• Time-consuming search process: Manually browsing through hundreds of categories and subcategories led to user frustration.
• Lack of personalized recommendations: Recommendation systems based on standard algorithms were ineffective for the specific needs of construction products.
• Inefficient customer service: A high volume of inquiries about specific products overloaded customer service departments.
• Platform customization limitations for the EU market: The lack of multilingual support and adaptation to local standards in various European countries posed challenges.

Actions:

1. Comprehensive market and user needs analysis:
   • We analyzed user behaviors and their most common issues when searching for construction products.
   • Key areas were identified where AI technology could provide improvements.
2. Development of an AI object recognition algorithm:
   • We created an advanced AI algorithm that analyzes photos uploaded by users.
   • The algorithm recognizes objects in photos and matches them with corresponding products in the catalog.
3. Integration with the product database:
   • The AI algorithm was integrated with the product database, enabling instant suggestions for appropriate materials and tools.
   • A system was implemented to automatically update the database in real time.
4. User-friendly interface design:
   • We designed a UX/UI that allows users to easily upload photos and browse suggested products.
   • An intuitive system of categories and filters was introduced to enhance navigation.
5. AI-powered recommendation system:
   • Mechanisms were implemented to personalize product recommendations based on purchase history and uploaded photos.
6. SEO optimization and multilingual capabilities:
   • The platform was optimized for search engines.
   • Multilingual and currency-adjusted features were introduced to enable expansion into various EU markets.
7. Analytics and monitoring:
   • Analytical tools were applied to monitor user behavior, search result quality, and algorithm effectiveness.
   • Reporting systems were implemented to support further optimization.

Solution to the Problem:

The Gorilla Shop platform became an innovative tool enabling rapid searches for construction products based on uploaded photos.

• Automatic object recognition: AI allows users to upload an image of a material or tool, and the system automatically identifies the product and suggests the closest matches from the catalog.
• Streamlined purchase process: Searching for and purchasing products has been optimized, significantly speeding up order fulfillment.
• Personalized recommendations: The recommendation system provides users with complementary products based on their previous choices.
• Scalability: The platform is prepared to handle a large number of users and products, with the potential for further AI feature expansion.

Client Achievements:

• 45% increase in sales conversions due to precise product matching by the AI algorithm.
• 30% reduction in search time thanks to automation and the intelligent recommendation system.
• Improved customer service quality: A 35% decrease in customer inquiries.
• Automated product management: Real-time database updates and dynamic product categorization.
• Increased customer satisfaction: An intuitive purchasing process and accurate recommendations made products more accessible to users.

Why Us?

• Advanced AI technologies: We leverage artificial intelligence to address specific business challenges.
• E-commerce expertise: We specialize in projects that combine AI technology with practical needs in the e-commerce and construction sectors.
• Scalable solutions: Our platform is ready for dynamic growth and handling large user bases.
• Analytics and monitoring: We regularly analyze data and optimize processes to achieve better results.

Further Cooperation:

• AI algorithm development: Implementation of algorithms for recognizing more complex objects and analyzing larger data sets.
• Supplier management system: Introducing a module for automating supplier communications and inventory management.
• Integration with BI tools: Deploying tools for advanced data analysis and trend forecasting.

New Opportunities:

• Expansion into new EU markets: Launching localized language and currency versions for key European markets.
• AI mobile app: Creating a mobile app enabling users to leverage object recognition features in the field.
• Intelligent chatbot: Implementing an AI chatbot to assist users in quicker product searches and purchases.
• Partnerships with international suppliers: Establishing collaborations with global suppliers of construction materials.