ClicShopping

@Gary, We have decided to start with small featured, and we see in the future how to improve that. 2 orientations, try to give an answer at a question as : Could you give the description about the SKU-XXXXXXXXX, semantics approach. And the analytics approach : could you give me the total order amount during the last 3 month? The last use an agent AI to create dynamically the sql request.

Thank you, The approach for this moment is on 2 orientations : Semantics : you can look some information as product description, general condition .... Analytics : Dynamic request allowing to generate report or make analysis. Lot of work to do.

This version allows you to generate various types of reports through a conversational interface. We use RAG (Retrieval-Augmented Generation) and an AI agent to enable this functionality. What is RAG? RAG (Retrieval-Augmented Generation) is an AI technique that combines a language model with a search system. When you ask a question or request a report, the model first retrieves relevant information from a knowledge base or database. Then, it uses that information to generate a precise and context-aware response. This makes reports more accurate and aligned with real-time data. What is an AI Agent? An AI agent acts as an intelligent assistant that understands your requests and dynamically builds the query or report you need. Based on your input, the agent figures out what kind of data to fetch and how to present it — without you needing to manually define complex filters or SQL. Example Usage: You simply type your request inside the chat — for example, "give me the total stock, the alert stock by categories and products" The agent understands your intent, retrieves the necessary data, and builds the report automatically using RAG. below an image what we can do : Development Status The development is well on the road, and we’ve focused on optimization to make the experience fast and smooth. You just need to type your request, and the system takes care of the rest.

For over two years, ClicShopping AI has been integrating generative AI using OpenAI, Anthropic, and Ollama. While the V3.x release incorporated AI without requiring fundamental changes to the core application or underlying technologies, the upcoming V4 takes a major leap forward with deeper AI integration and enhanced functionalities. MariaDB with RAG: A Game Changer for AI-Driven E-Commerce for PHP aplication MariaDB has recently introduced a version with built-in Retrieval-Augmented Generation (RAG), leveraging OpenAI for intelligent search and contextual understanding. This upgrade enables databases to create vector embeddings, allowing for advanced semantic search capabilities that link structured and unstructured data. ClicShopping AI V4 seamlessly integrates MariaDB’s RAG with its PHP-based framework, empowering merchants with AI-powered data retrieval. The system can process vast datasets, enabling real-time insights and intelligent automation through a chatbot-driven interface. Advanced AI-Powered Features for Merchants ClicShopping AI V4 enhances the merchant experience with context-aware search and AI-driven analytics. Key capabilities will be includes (most of them): ✔ Intelligent Stock Monitoring – Instantly check which products are running low. ✔ Advanced Product Lookup – Retrieve products by reference, attributes, or even vague descriptions. ✔ Automated Customer Insights – AI-driven analysis of purchasing patterns and customer preferences. ✔ Smart Recommendations – Suggests relevant products based on user behavior and search history. and more. If no exact match is found, the chatbot dynamically returns the closest relevant result, ensuring an intuitive and efficient user experience. Currently, very few PHP e-commerce solutions natively integrate generative AI and RAG technology. ClicShopping AI is the first PHP solution to pioneer this innovation, redefining how merchants interact with their data. Enhanced Security with AES-256 Encryption Security remains a top priority. The next release will introduce dynamic AES-256 encryption for sensitive data stored within the platform. This ensures: 🔐 End-to-End Encryption – Protects customer and transaction data. 🔐 Adaptive Key Management – Rotates encryption keys dynamically for enhanced security. 🔐 Compliance-Ready Protection – Meets industry standards for data privacy and security. Try the Development Version Today ClicShopping AI V4 is at the forefront of AI-driven e-commerce solutions. Be among the first to explore its capabilities! ⚡ System Requirements (recommended): MariaDB 11.6 (with RAG support) PHP 8.4 Stay ahead of the curve—embrace the future of AI-powered e-commerce with ClicShopping AI V4!

Hello, is it possible to have a screenshot ?

AH just an idea, You can use ChatGpt for the translation, it work fine, same if you are coder,you candevelop a specific module for that with gpt. You have everything in ClicShopping AI to do that.

Hello, The best is crowding there is a module you can use but it's not completely tested Crowding does not allow me to insert all the language in free version. That's why I do not push more and I do not find a system enough simple to use it as crowding. And my account is suspended 😞 for that Let me know Clic On doynload (not github) https://www.clicshopping.org/forum/files/file/175-apps-tools-transfert-language/

Hello @GuillaumeSochon, Welcome, i just change the title and remove your website link, just a better practice. I hope it's fine for you. About the Drack report, I will look but I recommend to open an issue on Github. If there is a bug it will be fixed for a next release. I looked the log and I see you, something happen with the api. After testing, it's important to update the sql request. It will be implemented on the next release. Do not forget after to actualize your page to see the information ALTER TABLE `clic_marketplace_file_informations` CHANGE `is_installed` `is_installed` TINYINT(4) NOT NULL DEFAULT '0'; ALTER TABLE `clic_marketplace_categories` CHANGE `sort_order` `sort_order` INT(3) NULL DEFAULT '0'; ALTER TABLE `clic_marketplace_categories` CHANGE `parent_id` `parent_id` INT(11) NOT NULL DEFAULT '0';

Hello, Can you look this please /includes/ClicShopping/Conf/ElFinderConfig.php you must have something like that if you are in localhost <?php define('DIR_FS_CATALOG_IMAGES', '/home/www/clicshopping_test/sources/images/'); // path to files (REQUIRED) define('DIR_WS_CATALOG_IMAGES', '/clicshopping_test/sources/images/'); // URL to files (REQUIRED) If not reinstall your application without the Db installation. Let me know. Thank you

Hello Guillaume, Than you for your feedback, I will investigate the problem. It seems it does not find a directory. I come back to you

Good morning, Some of you have certainly noticed a change on the logo. Since the 2 last versions, we have set out to put generative artificial intelligence in the application with GPT and OPENAI. The module will certainly evolve in time to integrate other approach like Google Bard for example. We go there in stages. For the next version 3.431 a Charbot will be integrated into the application on the front office. It will use generative AI to give additional information to the user allowing him to have more information on the product. We wanted to go more far including generation conditions for example. But the expected result was not there. We have tried to use text segmentation to reduce the processing time but the limitation obtained is not good. This is due to the fact that Mariadb does not have a feature to include a vector inside a table. This approach improves treatment time but drastically reducing the number of Token sent to GPT and the cost linked to treatment. In addition, proposing a solution whose reaction time and a cost of treatment too much did not seem to us to be careful as an approach. Furthermore, like the administration where we use Davinci-003 model, in the front office, we use GPT 3.5 Turbo is a model largely cheaper than Davinci. We have included a parameter allowing to manage the chatbot display in the offering front so that you can better manage your budget. To complete the next evolution will have updates concerning the GPT including new statistics, a preditive security stock -analyse and an update on customer recommendations. Our objective is to be able to offer a new generation of e-commerce platform allowing merchants (small company, medium company) to be able to use artificial intelligence with a budget control, to be able to carry out more impactful communication campaign, marketing and finally to optimize production time, creation of product sheets and increase the sell. The work continues and will continue in this orientation in the future.

In the dynamic world of retail, managing your inventory efficiently is a key factor in ensuring business success. Introducing the predicitive stock class from ClicShopping, a powerful tool designed to help beginners navigate the complexities of inventory management and optimize stock levels with ease. Understanding the predicitve Stock The predictive stock class is a remarkable addition to the ClicShopping AI ecosystem, offering a set of functions tailored to assist retailers in calculating safety stock levels based on historical demand data, lead time, and desired service levels. It's a behind-the-scenes hero that empowers you to make informed decisions about your stock, ensuring you never run out of products when your customers need them the most. Accurate Safety Stock Calculations Made Simple One of the core features of the predicitive stock is its ability to calculate safety stock levels. Safety stock acts as a buffer, protecting your business from unexpected fluctuations in demand and lead times. With just a few lines of code, you can harness the power of statistical analysis to determine the optimal safety stock level for your products. The class leverages historical demand data to compute the mean (average) and standard deviation of product sales. These insights are then combined with the lead time and desired service level to generate a reliable safety stock figure. By adopting this approach, ClicShopping AI empowers beginners to make data-driven decisions, ensuring products are readily available for customers, even during peak periods. Personalized Configuration for Your Business ClicShopping AI understands that every business is unique, and stock management requirements can vary greatly. The predicitive stock offers customization options to suit your specific needs. You can adjust parameters such as lead time, service level, and standard deviation factor to fine-tune the safety stock calculations according to your business context. Seamless Integration and Ease of Use Integrating the predictive stock into your ClicShopping AI environment is a breeze. Whether you're a seasoned developer or just starting out, the class's well-structured functions and clear documentation make the implementation process straightforward. With a few lines of code, you can tap into the world of data-driven inventory management and take control of your stock levels like a pro. Real-World Application Let's explore a real-world scenario where the predicitive stock shines. Imagine you're an online retailer preparing for the holiday season—a time of heightened demand and potential supply chain disruptions. By utilizing the predicitive stock, you can analyze historical sales data, factor in lead times, and set a service level that aligns with customer expectations. The class then calculates the optimal safety stock, ensuring you have the right amount of inventory on hand to fulfill orders promptly, even in the face of unforeseen challenges. Conclusion ClicShopping's predicitive stock is a game-changer for beginners entering the realm of inventory management. It empowers you to make informed decisions, eliminate stockouts, and provide exceptional service to your customers. By harnessing the power of statistical analysis, you can confidently navigate the complexities of stock optimization and take your business to new heights. Are you ready to transform your inventory management? Embrace the predicitive stock from ClicShopping and unlock a world of data-driven success. Experience the future of retail with ClicShopping today.

In the fiercely competitive world of e-commerce, delivering a personalized and delightful shopping experience to customers is no longer just an option; it's a necessity. As an e-commerce business owner, you understand the importance of staying ahead of the game and providing your customers with product recommendations that align perfectly with their preferences and needs. Enter ClicShopping AI cutting-edge Product Recommendations System, a game-changer that enhances customer engagement, boosts conversions, and increases your sales. Understanding the Power of Product Recommendations: Product recommendations are like a knowledgeable shopping assistant, guiding your customers through a curated selection of products that are relevant to their interests. By leveraging data insights, customer behavior, and sentiment analysis, ClicShopping AI product recommendations System transforms ordinary shopping into an exceptional, personalized journey. The Magic of Sentiment Analysis: At the heart of ClicShopping AI product recommendations System lies sentiment analysis, a revolutionary technology that understands and interprets the sentiment or emotion behind customers' interactions. By analyzing product reviews, feedback, and customer interactions, sentiment analysis reveals the true sentiment - positive, neutral, or negative - customers associate with your products. Your Customers' Opinion Matters: With sentiment analysis, you gain valuable insights into your customers' preferences and opinions about your products. This enables you to identify products that resonate with customers and those that might need improvement. Armed with this knowledge, you can make data-driven decisions to enhance your product offerings and exceed customer expectations. Personalized Recommendations for Every Shopper: Say goodbye to generic product recommendations! ClicShopping AI advanced algorithms combine sentiment analysis with other factors like average ratings, user feedback, and sales data to create personalized recommendations for each individual shopper. By tailoring product suggestions based on their preferences, you foster a sense of exclusivity and make customers feel valued. Boost Conversions with Smart Recommendations: Imagine a scenario where a customer shows interest in a product but hasn't yet made a purchase. ClicShopping AI product recommendations System steps in with intelligent cross-selling and upselling recommendations that complement their chosen item. The result? Increased average order values and higher conversion rates. Seize the Opportunity with Best-Selling Products: Identifying your best-selling products becomes effortless with ClicShopping AI product Recommendations System. By leveraging data from sales analytics, you can confidently showcase these high-performing products to capture the attention of potential customers and drive more sales. Empower Customers with User Feedback: Customers trust the opinions of their peers. By incorporating user feedback into your product recommendations, you empower shoppers to make informed decisions. Positive feedback elevates a product's desirability, while addressing negative feedback shows your commitment to customer satisfaction. Conclusion: In a rapidly evolving e-commerce landscape, providing customers with personalized, engaging shopping experiences is paramount. ClicShopping AI product Recommendations System takes the guesswork out of product suggestions, enabling you to connect with your customers on a deeper level and boost your sales like never before. Embrace the power of sentiment analysis, data-driven insights, and intelligent recommendations, and watch your e-commerce business thrive in an era of customer-centricity and personalization. with ClicShopping AI, your customers' satisfaction is just a recommendation away!

Hello Ricardo, Please contact the softcaculous support if you need help or you can try with a manual install. Note : this forum is only in english. Please , write in other language could be difficult for some people to understand the problem or to resolve a problem. Thank you.