AI Data Scientist for Retail, Merchandising, & Pricing

@hudex

Hello dear, I am a professional data scientist expert and can do your task perfectly because I have done lots of similar tasks and also I am in top 1% here so just text me so I can help you out with your task Kind regards

@chraheelbhatti

With a PhD in Artificial Intelligence and Machine Learning and over a decade of professional experience in creating and implementing complex ML algorithms, I am the perfect AI Data Scientist for your retail, merchandising, and pricing project. My specific skills in AI, Generative AI, and NLP align closely with your requirements, and my proven ability to deploy univariate, multivariate, and hierarchical demand forecasting models will ensure the development of accurate algorithms for your long-term business predictions. Importantly, I not only integrate solutions but assure of their scalability and reliability by carefully monitoring their performance on top of consistent retraining. As a continuous learner who consistently stays updated on the latest AI/ML advancements (including Tensorflow to OpenAI), I guarantee that your merchandising and pricing transformation initiatives would greatly benefit from my deep industry knowledge and academic dedication. Allow me to leverage this opportunity to lay down the roadmap for a successful retail future for your brand via intelligent strategies. Hire me today!

@ZohaibRoy

⭐⭐⭐⭐⭐ Expert Retail Data Scientist for AI-Driven Merchandising Solutions ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and noticed you're looking for a skilled Data Scientist in retail, merchandising, and pricing. Look no further; Zohaib is here to assist you! My team has successfully completed over 50 similar projects in this field. I will create efficient forecasting and optimization models while integrating AI solutions to enhance your retail initiatives. ➡️ Why Me? I bring 5 years of solid experience in retail data science, focusing on AI, NLP, and optimization. My expertise includes advanced forecasting, assortment planning, and inventory management. Additionally, I have a strong grip on tools like TensorFlow and PyTorch, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail. I can show you samples of my previous work, demonstrating my success in retail data science. Looking forward to our conversation! ➡️ Skills & Experience: ✅ Retail Data Analysis ✅ Advanced Forecasting ✅ Price Elasticity Models ✅ Inventory Management ✅ Optimization Techniques ✅ Machine Learning ✅ Deep Learning ✅ A/B Testing ✅ NLP Techniques ✅ Data Integration ✅ Time Series Analysis ✅ Python Programming Waiting for your response! Best Regards, Zohaib

@irsolutions

With over a decade of experience in AI and ML development, I understand your need for a highly skilled Data Scientist specializing in retail, merchandising, and pricing. My background in building high-complexity systems, coupled with my expertise in AI, NLP, and Generative AI, uniquely positions me to tackle the challenges your project presents. One key strategy I would implement is leveraging deep learning techniques, such as LSTM and Transformer-based models, for complex forecasting and predictive use cases. I have successfully managed projects handling over 1 million users, proving my capability to scale solutions effectively. I encourage you to reach out to discuss how my skills and experience align with the strategic goals of your project. I am confident that my insights and technical acumen can drive scalable retail, merchandising, and pricing initiatives to success.

@AhmadXpert2410

Hi there, I understand you’re looking for deep, real-world expertise across forecasting, pricing, assortment optimization, and the full ML lifecycle—not just theory but end-to-end implementations that scale in retail environments. I’ve built and deployed similar systems where demand forecasting (ARIMA, LSTM, and hierarchical reconciliation), price elasticity modeling, and inventory optimization were integrated into a unified pipeline to support merchandising and pricing decisions across large SKU catalogs. My approach is to walk you through each component with practical architecture and results: forecasting pipelines handling cold-start and multi-echelon demand, causal inference models for price elasticity and counterfactuals, and optimization layers (linear programming / OR) for replenishment and assortment decisions. I also incorporate NLP and generative AI for product enrichment, embeddings, and clustering, along with experimentation frameworks (A/B testing) to validate business impact and continuously refine models. Beyond modeling, I focus on production readiness—feature stores, CI/CD pipelines, monitoring for drift, and API-based deployment for seamless integration into business systems. I can provide structured walkthroughs of these implementations, explain trade-offs, and demonstrate how each component drives measurable improvements in revenue, inventory efficiency, and pricing strategy. Regards, Ahmad

@maxscender

I can help you. I solve the hierarchical forecasting problem by implementing Global-Local models with MinT reconciliation to ensure consistency across SKUs and regions, using DeepAR to handle cold-start products. For pricing, I apply Causal ML (Double Machine Learning) to isolate price elasticity from seasonal noise, feeding these coefficients into non-linear solvers for margin-optimal markdown strategies. I automate assortment planning by transforming unstructured product data into vector embeddings via LLMs, allowing for similarity-based substitution logic within integer programming constraints for shelf-space optimization. My inventory solutions utilize multi-echelon stochastic optimization to balance service levels against holding costs. To maintain these at scale, I deploy containerized models as APIs with automated drift detection and CI/CD pipelines, ensuring that shifts in consumer behavior are caught and addressed through automated retraining loops.

@farazahmed029

Hello, With 8+ years in AI data science, NLP, Deep learning, Python and software development I can help you Build, Scale and deploy ML model, i have read all the details and understand the scope of this project and i am very much interested in this project, Message me so we can discuss further in details, Thanks Faraz

@mobasherreza10

Hi there, Your job post caught my attention because I have built and deployed end to end AI solutions for retail merchandising and pricing at scale, including demand forecasting, price elasticity, assortment optimization, and generative AI for product enrichment. For advanced forecasting, I implemented a hierarchical demand forecasting system for a large retailer using Prophet and LSTM models, reconciling forecasts across 5,000 SKUs and 200 stores with a custom reconciliation layer that reduced forecast error by 23%. For optimization, I developed a price elasticity model using Bayesian methods to estimate demand curves at the category and channel level, then built an inventory allocation optimizer using linear programming that increased in stock rates by 12% while reducing holding costs. For assortment planning, I designed a multi armed bandit based assortment selection algorithm that learned from user click and purchase data, balancing exploration and exploitation to maximize sales per shelf foot. I have deployed these models using TensorFlow, PyTorch, and LangChain, with CI/CD pipelines for retraining and monitoring concept drift. Let me know if you have specific product categories or data sources you want to discuss. Best regards, Mobasher Reza