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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!

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.

OpenAiGPT can help companies in online trade in several ways. Here are some examples : GPT and analysis Content generation: GPT can generate quality content for e-commerce websites, such as product descriptions, technical sheets and blog articles. This can help companies increase their online visibility and improve their natural referencing. Selling assistance: GPT can also be used to create virtual assistants to help customers find products and answer their questions. This can help companies improve customer experience and increase conversions. Data analysis: GPT can be used to analyze e-commerce data, such as sales trends, purchase behavior and customer comments. This can help companies make informed decisions on products for sale and the advertising campaigns to be launched. Generation of automated Chatbot script: GPT could help generate automated script for chatbot for better customer support and better shopping experience. Generation of slogan or catchy title: Chat GPT can also be used to generate slogans or catchy titles for online advertising campaigns. This can help companies attract customer attention and increase conversions. It is important to note that Chat GPT is a powerful tool but it does not replace creativity and human expertise. It is best to use it as a tool to help you improve the performance of your site and your customer experience Could GPT do the after -sales service of an online commerce site? ‍ GPT could certainly be used to manage the after-sales service of an online commerce site. It could be used to create a chatbot or a virtual assistant to help customers solve their problems and answer their questions. - It could also be used to analyze after-sales service data, such as support tickets and customer comments, to identify trends and recurring problems. - It could use pre-trained models on customer needs to be able to meet the most common requests. - It can help using standard expressions and responses for requests for return, refund, order, delivery monitoring etc. - It could also be used to generate scripts for customer service employees to help them respond to requests in an efficient and professional manner. It is important to emphasize that even if GPT has high capacities for language understanding, it is important to train it with data specific to your company, so that the generated responses are as appropriate as possible. It is also important to ensure the quality of these responses and check them regularly to ensure that they are correct and in accordance with the company's policies. Will it be possible to send emails directly to customers, in particular for informed of a delivery state for an order? ‍ - It would be possible to use Cat GPT to send automatic emails to customers to inform them of the state of their delivery. - This could be accomplished using the GPT API to generate automated emails, which would then be sent to customers via an email sending platform. For this, it would be necessary to configure an automated email generation system which will integrate into your order management system, so that it can recover the delivery data corresponding to a given command and use it to generate a personalized email to the customer. - GPT could then be used to generate the content of these emails, using delivery and shipping information to customize the message. - It would also be possible to use GPT to generate email models for different stages of the delivery process, such as order confirmation, shipping, delivery or return. This would automate the process for sending delivery monitoring and saving time for employees. It is important to note that the sending of automated email must respect the rules of confidentiality and spam and must comply with the applicable laws and regulations, such as the Data Protection Act (GDPR). It is important to ensure that customers have given their consent to receive communications of this type and give them the possibility of unsubscribing. Product content creation : How can GPT Chat be useful in their creation? ‍ GPT-4 can be very useful for the creation of product sheets for an online commerce site. It could be used to automatically generate product descriptions, technical characteristics, advantages and disadvantages, current uses, product images and even catchy titles for products. Here are some concrete examples of the use of Chat GPT for the creation of product sheets: - Generation of product descriptions: GPT could be used to generate convincing and attractive product descriptions, using information on the characteristics and advantages of the product. He can use examples of sales sentences to encourage the user to buy. - Generation of technical characteristics: GPT could be used to generate the detailed technical characteristics of products, such as dimensions, weight, materials used, etc. - Generation of product images: GPT could also be used to generate product images based on technical characteristics and product descriptions. He could use existing images based on tags for image recognition. - Generation of catchy titles: GPT could also be used to generate catchy titles for products, which would attract the attention of customers and encourage them to learn more about the products. - Generation of SEO content: GPT could also be used to generate SEO (Search Engine Optimization) content to improve product sheets in terms of natural referencing. It is important to note that even if GPT can automatically generate quality content and it is important to check and reread the product sheets before publishing them to ensure that they are correct and respect the rules of the company in terms of quality and presentation. It is also important to have complete information on products to feed GPT-4, to avoid errors or inaccuracies. How can GPT analyze the sales data of a website and what will interest be? ‍ GPT can be used to analyze sales data from an electronic commercial website using automated data analysis techniques. It could be used to identify sales trends, customer purchase behavior and the most popular products, for example. Here are some concrete examples of the use of Chat GPT for sales data analysis: - Identify sales trends: GPT could be used to analyze sales data and identify trends, such as periods of high activity or most popular products. This could help companies plan their inventory and adapt their marketing strategy. - Analysis of purchase behavior: GPT could also be used to analyze customer purchase behavior, such as products purchased together, purchase frequencies and spent amounts. This could help companies better understand their customers and adapt their marketing strategy accordingly. - Customer segmentation: GPT could use sales data to identify customer segments that have similar characteristics and similar purchase behavior. This could help companies target their marketing campaigns and personalize offers for each group of customers. - Sales forecasts: GPT could use machine learning techniques to predict to come from the historic sales data. This could help companies plan the inventory and marketing strategies. - Customer commentary data analysis: GPT could use feelings analysis techniques to extract positive and negative information from customer comments, to identify the strengths and weaknesses of the products and the purchasing experience . This could help companies improve their products and improve the purchasing experience. Analysis of sales data can provide businesses with valuable information on their market, customers and products. This can help them make informed decisions on products for sale, the advertising campaigns to be launched and the marketing strategies to use, to increase sales and improve customer experience. How can GPT help the purchase service from an online sales site? ‍ ‍ GPT can help the purchase service of an online sales site using its natural language and content generation comprehension capacities. It can be used to automate certain tasks and improve the efficiency of the purchasing service. Here are some concrete examples of the use of Chat GPT for the purchase service of an online sales site: - Supplier search: GPT could be used to carry out online supplier searches, using specific keywords and search criteria to find potential suppliers. It could also be used to assess the quality and reliability of potential suppliers. - Generation of purchase requests: GPT could be used to automatically generate purchase requests for products, using supplier information and business needs to personalize requests. It could also be used to generate quotes and contracts for suppliers. - Monitoring of orders: GPT could be used to monitor orders and to inform suppliers and internal employees about possible delays or delivery problems. It could also be used to generate reports on commands and deliveries. - Price negotiation: GPT could use its language understanding capacities to help buyers negotiate prices with suppliers, using relevant arguments and responding to objections. - Data analysis: GPT could use data analysis techniques to identify trends and purchase opportunities, using information on orders, deliveries, stocks and prices to make purchase decisions informed. By using GPT to automate certain tasks and to improve the efficiency of the purchasing service, companies can save time and resources while improving the quality and relevance of purchasing decisions. It is important to note that the use of Chat GPT for these tasks does not replace the need for human expertise to make crucial decisions for business management, especially for negotiations and data analyzes. What can be the use of GPT chat for images produced from an eCommerce site? ‍ GPT can be very useful for product images of an electronic commerce site using its image recognition and content generation capacities. It can be used to automate certain tasks related to products and to improve the user experience. Here are some concrete examples of the use of GPT-3 for product images of an electronic commerce site: - Image recognition: GPT could be used to identify the characteristics of product images, such as colors, shapes and sizes, using automated image recognition techniques. This information could be used to improve product search or to suggest similar products. - Image generation: GPT could be used to generate product images based on product descriptions, using technical characteristics and product descriptions to generate images that faithfully represent products. - Image compression and resizing: GPT could be used to optimize the size of product images to improve the loading time of the website pages. We hope these elements can be useful for you. GPT is disruptive tool and it's important to implement it if you want to improve your productivity.

ClicShopping allow you to use the generative artificial intelligence with Gpt, there are 2 ways to use this new functionality What you do inside ClicShopping with the GenIA Across the chat : Use on all pages Across the Wysiwyg : Specific request about - Products (description - short description - SEO - image gallery) - Brands (description - SEO - image) - Categories (description - SEO - image) - Contact email - Newletters - Content page (description - SEO) ... All other page use the Wysiwyg - SEO in general - Request Help with a general chat - Front page Chatbot In the futur we want to develop and to implement more interactions with the IA like products recommendations, reviews summary ... 1 - Use the chatbox available in the header This approach is useful if you need to ask a specific request, for example for the seo (title, description, keywords) 2 - Use the wysiwig chatbox available for all descriptions This approach will allow you to include a product description easily. You must click on the map icon close the image icon. A dialog box is open and you can insert your question. 3 - Setting the Artificial Intelligence To use this approach, you must configure the API and to include the OpenAI key. Of course you can change some parameters. The key is available on OpenIA platform. Just note the API is not free (except for testing during 3 months) 4 - Front Page Chatbot You must activate the chatbot frontpage to use it and set it inside Template/footer. The focus is on product information. It was difficult to propose some others informationswith the generative AI because the consumption is too important for a bad result. The problem come from Maria Db, the database does not use the vector approach and when you have a long text to analyze, the vector approach is really useful. We tried with segmentation approach but the result is poor. To use generative AI for general condition is really bad idea because the legal approach can be very different on each website including the regulation. Documentation : if you want more information about the setting configuration, please look there : https://platform.openai.com/docs/quickstart/start-with-an-instruction 5 - Statistitics dashboard Settings 5 - More informations are available inside the blog : How can GPT help us to improve the productivity and the result inside ClicShopping ? SEO and GPT Use Artificial Intelligence In Ecommerce

ccording to a research by Accenture, AI could potentially boost profitability rates by an average of 38% across 16 industries by 2035. AI will particularly benefit the retail sector because of its immediate impact on two fundamental areas that have a serious impact in retail ecommerce; creating a very personalised shopping experience and making smart business decisions. Artificial intelligence in ecommerce is also helping ecommerce platforms to cater the needs and interest of the users. 1. AI-Assisted Product Recommendations Retailers are able to use Big Data (the collection and compilation of data from different channels, previous transactions and other activities) to determine the trends in the shopping habits. This analysis could be used for personalized product recommendation. 2. Advanced Semantic-Based Search When we talk about personalization in the context of ecommerce and customer support, right now there is nothing better than intelligent customer engagement at every point of contact. One of the most important aspects of personalization is the ‘search result’. With advanced semantic-based site search, customers are able to easily navigate the store and find the relevant products without wading through a lot of unnecessary results 3. Chatbots Chatbots might just be the ultimate solution for the customer support woes. The good news is that modern chatbots are able to interact with customer databases and extract details of a customer and respond in the most appropriate and personalized way in real-time. Chatbot provides a comfortable customer experience that keeps visitors from leaving the website without making a purchase. 4. Virtual Assistants Other application of artificial intelligence in ecommerce is through virtual assistants. Virtual Assistants contribute a lot in creating an efficient sales process. These assistants communicate with customers to understand their preferences and provide them with an intuitive shopping experience. 5. Efficient Company-Wide Decision Making Pricing and Inventory Management Pricing products is no more a guess work. AI can use complex learning algorithms that assess market dynamics and all the other relevant factors of market competition. Optimal pricing of the merchandise helps a business stay relevant and ultimately succeed in a competitive environment. Business Analysis Putting all the data to use, you can also determine the kinds of products and business actions that have decreased efficiency, increased conversions, and if anything needs readjustments. These comparisons pertain to market share, pricing patterns and overall progress of a business. 6. Cybersecurity Enhancement Ecommerce websites have a ton of customer data that will be vulnerable if there aren’t any proper cybersecurity measures in place. Detection of New Threats Unlike traditional software, AI software tend to get smarter with time as new types of malware and threats emerge. Therefore, they will be able to quickly detect malware or ransomware attacks on your website before they’re able to cause any serious problems. Blocking Out Bots Bots form a large amount of the internet traffic today, and they can prove to be dangerous. Bots can steal credentials, create fake accounts and cause data fraud. 7. Sales Forecasting Sales forecasting and inventory management has become an absolute necessity for every business. To avoid any unforeseen shortages or stock run-outs, ecommerce businesses can now use artificial intelligence for sales forecasting. Software like Mintigo make use of AI to predict future sales based on consumer patterns and help decision-makers predict the results of their marketing efforts. 8. Fighting Fake Reviews Believe it or not, online reviews can make or break your brand. One fake review from your competitor or a bot can turn things around for your brand

A little image in french and the potential market with AI and Chatbot. You can download a specific Chatbot App with artificial intelligence thant you can install in ClicShopping. About this App, a specific article will be write. For this moment, you can look in french this infographie.