E-commerce & Retail
Leverage your Data to Boost your Performance
With Data Science & Machine Learning, personalise your recommendations, optimise your prices, manage your stock intelligently and improve the customer experience.
The challenges facing the sector
Key challenges in e-commerce and retail
The e-commerce and retail sector is experiencing intense competitive pressure, rapidly changing purchasing behaviours and increased demands in terms of customer experience. Companies must rely on their data to :
Personalisation & loyalty
Consumers expect personalised experiences. Businesses must offer relevant recommendations and strengthen customer loyalty through a better understanding of purchasing behaviour.
Competitiveness & margins
Dynamic price management has become essential to remain competitive while maximising margins in a constantly changing market.
Inventory management & supply chain
The ability to predict demand and optimise supply is a key performance factor in reducing costs and avoiding shortages.
OUR SOLUTIONS
Key Use Cases for AI in
E-commerce & Retail
01
Personalised recommendation engines
Deployment of machine learning algorithms to offer each customer products tailored to their profile, purchase history and browsing behaviour.
02
Price optimisation
(dynamic pricing)
Implementation of intelligent models to adjust prices according to demand, competition and seasonality, ensuring competitiveness and profitability.
03
Intelligent inventory and supply chain management
Demand forecasting and logistics flow automation to reduce costs, improve product availability and limit losses due to overstocking.
04
Customer behaviour analysis
Advanced segmentation and purchase journey analysis to anticipate needs, understand expectations and enhance customer satisfaction.
OUR SOLUTIONS
Benefits for Your Business
Choosing HAXAN for your data and AI projects in industry and manufacturing means transforming your data into a strategic lever to improve your operational performance, guarantee the reliability of your equipment, and support your transition to more sustainable production.
Continuity and reliability of operations
Unplanned production stoppages represent one of the heaviest costs for manufacturers. By anticipating breakdowns through predictive maintenance, you gain stability and can plan your interventions at the best time, significantly reducing financial losses associated with production line interruptions.
Increased productivity and competitiveness
In a market where deadlines are becoming increasingly tight, mastering IoT data enables real-time optimisation of resource utilisation and overall production line efficiency. This operational efficiency translates directly into greater competitiveness and an ability to more easily absorb fluctuations in demand.
Enhanced quality and assured compliance
Quality is a vital issue in industry, both in terms of meeting regulatory standards and maintaining customer satisfaction. By integrating AI and computer vision, you can improve your quality control processes, reduce scrap rates and ensure consistent compliance with industry standards.
Cost control and energy transition
Energy consumption represents a major item in production costs. Predictive modelling makes it possible to identify savings opportunities, optimise energy efficiency and progress towards CSR objectives. Beyond reducing expenditure, this approach enhances your company’s image and supports your environmental commitments.
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E-commerce & Retail
Why Choose HAXAN to Support You
In an ultra-competitive environment, e-commerce and retail players must combine agility, personalisation and operational efficiency. Our methodology is designed to generate rapid and measurable impact :
To discover how to transform your data into a real growth engine :
1. Audit & business scoping
We analyse your customer data, purchasing journeys and logistics processes. This phase allows us to identify priority use cases: personalised recommendations, dynamic pricing, stock optimisation or behavioural analysis.
2. Deployment of customer-oriented solutions
We develop and train AI models tailored to your challenges (recommendations, segmentation, demand forecasting). The solutions are integrated into your e-commerce platforms and ERP systems for direct and seamless operation.
3. Monitoring & continuous improvement
We monitor performance in real time: conversion rates, customer loyalty, logistics costs, margins. Thanks to MLOps practices, models evolve with your customers, your products and your market, ensuring constant relevance.