Improving retail with data science & AI

Customers’ experiences and expectations are constantly rising. SFL Scientific helps the retailing industry exceed them through data science and AI.


In these uncertain times, it's becoming harder to understand and connect with customers. SFL Scientific works hand in hand with our clients to help revolutionize their organizations using Data Science solutions to improve the information and product flow around suppliers, stores, and customers; and scale their operations into new markets.

Our Custom Strategy

Computer Vision

Performance monitoring (predictive analysis, time-series, machine vision)

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Predictive Analysis/Time-Series

It's critical to develop a plan to integrate the model, not just make a predictive score

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Data Engineering

Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.

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We Work with Top Retail Companies

Use Cases

How SFL Helps Retail Companies

Companies that are making extensive use of AI are reaping the benefits of increased customer satisfaction and loyalty while decreasing expenditures and improving operations which adds to their bottom line.

New Store Location Optimization

The goal of this initiative was to determine the optimal combination of new locations, existing locations, and potential partner locations to maximize the traffic and revenue of each location. This project also answers questions such as the incremental value of each store, factors that contribute to performance, and location prediction.

Machine Learning & Time-Series

Realistic Style Transfer with NNs & GANs

Developed state-of-the-art deep learning framework as a client-facing application that transforms faces between combinations of various hair growth, such as none, beard, mustache, etc.

Deep Learning

Emotion Recognition using AI

The main objective centered around understand technically how to capture sentiment and emotions for digital consumer applications for video, text, and audio-based applications.

Machine Learning

Preventive Maintenance Optimization

Developed machine learning models to optimize preventative & scheduled maintenance of on-site medical instruments and analytical devices, analyzing over 400,000 service events on thousands of component types such as pumps.

Time Series

Facial & Texture Recognition for Style Advisor

The goal is to build a state-of-the-art machine learning pipeline as the engine for a “Style Advisor” application. The system generates realistic styles for current and potential hair growth in different regions, such as chin, cheek, and lip areas, and generates global predictions for facial hair color and face shape at a state of the art level.

Deep Learning & Computer Vision

Clinical Trial Kit Order Modeling

Developed a forecasting model and interface to predict clinical kit and sample collection materials by examining patient visit and enrollment data to support supply chain and manufacture operations.

Retail and CPG AI Trends

Retail and CPG  companies are using AI for a number of scenarios including assortment optimization, product recommendations, fraud detection, customer retention, and optimized marketing. Leverage your data to create new opportunities and advantages on your competitors.

Retail trends infographic

People Powered from Data Management to Custom Solutions and Deployment

Retail and CPG companies know it’s not a question of whether or not to deploy AI solutions, but a matter of when and where to start.

Our US-based team of data scientists, consultants, and engineers can guide you through the process of driving real business value with AI. We will work to understand your AI business cases, identifying unique areas of innovation that require further research with proof of concept through building models and deploying sustainable, performant AI business applications at scale.

Team brainstorms with sticky note exercise
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Start a Project

We’d like to work with you to understand your unique AI challenge from modernizing legacy platforms to developing new AI solutions. Technology moves fast, let’s build sustainable solutions.

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