Retail

The future of retail has arrived, necessitating significant digital investments to cater to the changing needs of consumers and to stay competitive against new market entrants.

Many retail companies possess an abundance of data, yet they often struggle to leverage it effectively to drive their business forward. In today's market, harnessing this data is not just an option—it's a necessity. At Le Marais Advisory, we assist retailers in prioritizing digital initiatives within a flexible retail strategy that responds more adeptly to consumer demands than ever before. We also guide clients in identifying and capitalizing on new growth opportunities, ensuring they remain competitive and innovative in the dynamic retail landscape.

Our Retail Expertise

Fashion Industry

Fashion retailers must cut costs, enhance digital capabilities, and embrace the importance of sustainability. At Le Marais Advisory, we facilitate the transformation of operations, enabling you to adapt effectively to this consumer-driven landscape.

Consumer Products

We guide consumer product companies in reimagining their product lines, marketing strategies, and distribution channels. Our comprehensive approach addresses the evolving challenges in the consumer goods sector, helping brands stay competitive and relevant.

Luxury Goods

We assist luxury brands in redefining their product offerings, sales timing, and methods. Our dual-strategy approach tackles the challenges presented by the new dynamics in the luxury goods market.

Customer Insights

We empower organizations to refine their approach to customer engagement by enhancing their understanding of consumer behaviors and preferences. Our strategic focus on customer insights helps businesses tailor their offerings and marketing strategies for maximum impact and relevance in their target markets.

How We Support Companies in the Retail Industry

At LMA, we work across the retail value chain to help our clients navigate their most pressing challenges, including:

Personalized Product Recommendations: Implement AI-driven systems to analyze customer behavior and preferences, delivering personalized product recommendations that boost sales and customer satisfaction.

Inventory Optimization: Use machine learning algorithms to forecast demand more accurately, optimize stock levels, and reduce overstock or stockouts, enhancing supply chain efficiency.

Dynamic Pricing: Employ AI to adjust prices in real-time based on factors like demand, competition, and market conditions, helping retailers maximize profits and stay competitive.

Customer Sentiment Analysis: Utilize natural language processing (NLP) to analyze customer reviews and social media comments, gaining insights into customer satisfaction and identifying areas for improvement.

Fraud Detection: Implement AI tools to identify and prevent fraudulent transactions, protecting revenue and enhancing customer trust.

Chatbots for Customer Service: Create AI-powered chatbots to handle routine customer inquiries, order tracking, and support tasks, freeing up human resources for more complex customer service issues.

Get started quickly with an AI strategy briefing, Discover where AI can make the biggest impact and how LMA can elevate your AI investments.

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Your partner for all things AWS

Featured Client Success Story

Strategy | Gen AI | Conversational AI | Email Automation

Transforming a worldwide organization with a modernized contact center.

LMA designed a modern contact center leveraging Self Service, Conversational AI, Email Automation and Generative AI for our education software client. Our client was a global company had over 10 million+ contacts a year and annual run rate of over $185m. The team also created 3 proof of values for the client leveraging Generative AI for contact intent, email automation in SalesForce, and Conversational AI.

$60m

in run rate savings.

Predictive Analytics

Churn and LTV Modeling

For marketing departments aiming to optimize customer retention and maximize lifetime value (LTV), implementing a churn and LTV project is essential. By leveraging advanced analytics, we can identify key patterns and predictors of customer churn, enabling targeted interventions that not only prevent attrition but also enhance customer engagement and satisfaction. Concurrently, we focus on increasing the lifetime value of customers by understanding their behavior and preferences, which allows for more personalized and effective marketing strategies

$1m

in marketing spend saved

Recent Projects

Contact center modernization

We developed a state-of-the-art contact center solution that leverages AI to enhance customer service efficiency and satisfaction. By integrating advanced speech recognition and natural language processing technologies, we enabled the system to understand and respond to customer queries with higher accuracy and speed.

Churn
Model

By leveraging advanced machine learning algorithms, this model aims to identify customers at high risk of churn, allowing for targeted intervention strategies. This proactive approach not only enhances customer retention rates but also significantly reduces wasteful spending on broad-spectrum marketing campaigns. By reallocating resources to engage with at-risk customers through personalized incentives and tailored communications, we ensure higher ROI and improve overall customer satisfaction, making our marketing efforts more efficient and impactful.

Causal
ML

Le Marais Advisory partnered with a leading online retailer to investigate the direct impact of personalized email campaigns on customer purchase frequency. By leveraging a controlled trial framework, we carefully segmented users into treatment and control groups, ensuring minimal bias through rigorous propensity score matching. The treatment group received highly personalized product recommendations based on their browsing history and past purchase behavior.

Where we've made an impact

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Get started quickly with an AI strategy briefing, Discover where generative AI can make the biggest impact and how LMA can elevate your AI investments.