Retail
Improving retail with data science & AI
Overview
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)
Learn MorePredictive Analysis/Time-Series
It's critical to develop a plan to integrate the model, not just make a predictive score
Learn MoreData Engineering
Designing data architecture and best practices for secure, efficient, and cost-effective data and IT systems.
Learn MoreWe 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.
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.

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.

Work with Us
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.