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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 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!

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.

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