Retail Machine Learning & AI Solutions
AI/ML solutions in retail are helping firms align their offerings with the expectations of customers
AI in retail is becoming increasingly critical for enterprises. The disruptive impact of machine learning and artificial intelligence can be seen across the value chain: Harvard Business Review states AI can help retailers reduce customer churn by up to 20%. It is emerging as a powerful tool for retail brands to be more strategic with customers, and IBM states 84% of retailers believe that AI will help them gain or sustain a competitive advantage.
In a digitalized era where today’s customers seek personalized products and services, ML and AI in retail are helping firms align their offerings with customers’ expectations. Salesforce states that 51% of consumers are willing to shop more frequently at retailers that offer personalized experiences powered by AI. If your firm is not doing this, you will likely lose your wallet share. It’s time for retailers to help people find products in their precise moment, and perhaps before they even perceive that need. This shift requires designing experiences that merge an understanding of human behavior with large-scale automation and data integration.
Mosaic helps retail customers utilize AI & ML to solve their biggest industry problems and find a starting point for their commerce data using techniques such as computer vision to customize search results in real-time and machine learning for inventory management decisions. We offer on-demand access to top-performing data scientists that will work with you to develop the right tools and capabilities to better interact with your customers, operate more efficiently, and facilitate ongoing learning from data. Retail customers report a sustained competitive advantage from working with Mosaic.
Featured Retail Clients
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Mosaic has deployed AI, ML, and advanced analytics for the following retail use cases
Price & Promotionality
Mosaic fuses several dynamic data sources to build actionable enterprise AI pricing systems.
Demand Planning | Inventory Management
Mosaic uses analytics to combine historical and real-time data, to identify patterns that traditional forecasting would have missed.
AI-Driven Customer Experience Modeling
Mosaic helps our retail customers deliver experiences driven by AI.
Machine Learning for Customer Churn
Leverage customer attributes and behavior to establish a data-centric risk management system.
“Retailers have a tremendous opportunity to design & deploy data analytics solutions that save the business money or maximize revenue; from more informed inventory planning to personalizing customer experiences and pricing to identifying new markets, data science can assist any retail executive.”
Mike Shumpert, Managing Director of Mosaic Data Science
Explore Some of Our Retail Use Cases
Maximizing Revenue With Machine Learning for Retail Pricing
Mosaic helped a nationwide retailer model the price elasticity of demand across their product catalog, empowering them to optimize prices and maximize SKU revenue.Read More →
Designing & Deploying Practical Advanced Graph Analytics Solutions
Given a set of nodes & connections, which can abstract anything from transportation networks, connections between customers, knowledge graphs, or molecular structures to computer data, graph analytics provide a helpful tool to quantify & simplify the many moving parts of dynamic systems.Read More →
Market & Competitive Intelligence Powered by NLP using Social Data
Summary Our white paper explores the processes and opportunities presented by NLP for social media in extracting valuable data to drive improved operational and strategic decisions for R&D efforts. Natural language processing (NLP) is one of the most promising social media data processing avenues. It is a scientific challenge to […]Read More →
Geospatial Data Analysis for Machine Learning-based Customer Clustering
Both descriptive analytics and machine learning models can benefit greatly from using geographic data analysis to solve segmentation use cases.Read More →
Making Sense of Natural Language Processing: Q&A With Alex Tennant, Senior Data Scientist
We sat down with Senior Data Scientist Alex Tennant for his perspective on the opportunities and complexities of NLP and how Mosaic is paving the way for the consistent evolution of this powerful technology.Read More →
Automating Call Center Insight Extraction with NLP | Going beyond Sentiment Analysis
Mosaic used NLP algorithms to automatically extract various insights about people calling into a customer call center. We created a process to identify at-risk customers that called the previous day based on the transcript of the call.Read More →
How Deep Learning Facilitates Automation & Innovation and When to Use It
In our whitepaper, Mosaic explores deep learning , including when to use deep learning over machine learning using practical examples.Read More →
Summarizing Text with Artificial Intelligence
Text data presents a tremendous opportunity to benefit all stakeholders of an organization – investors, employees, processes, and the all-important customer – if the organization can find a way to sift through this data in an automated way to extract key information and solve specific challenges. In that case, they could learn about their firm and... Read More →
How AI Fuels Digital Transformation
Operating in today’s conditions requires creative thinking, agile decision making and embracing change. AI & Digital Transformation can support all these disciplines.Read More →
Improving eCommerce Internet Search with AI
Filtering search results is an essential part of any eCommerce website. Can you remember the last time you shopped online without filtering on product attributes such as color, size, brand, etc. Additionally, rich product attributes are critical to Google SEO which drives traffic and website sales.Read More →
Customer Churn Risk Scoring using Machine Learning
Mosaic designed and deployed a custom machine learning model to help this retail energy company predict customer churn and inform a geographic growth strategy.Read More →
Loading Dock Staffing Optimization
Decision processes in support of jobs that either cannot be or are very difficult to automate are frequently overlooked by out of the box software providers. One such process is the creation of optimal staffing plans for outbound teams loading cartons onto trucks.Read More →
Automated Cooking Prediction & Optimizer | Deep RL
Mosaic built an automated cooking prediction & optimizer using deep reinforcement learning to improve short term cooking operations.Read More →
Loyalty Program Discounting
Executives thought they could drive even more gasoline sales through further discounting to their members. They needed to measure if dropping the price per gallon drove more sales volume, validating their beliefs. Instead of relying on ‘tribal’ knowledge.Read More →
Expanding Statistical Hypothesis Testing
If a decision maker is only relying on their ‘gut’, they are not only behind the times, but at high risk of losing competitive advantage, customers and market share.Read More →
Moving Fast & Deploying Predictive Analytics
Working in conjunction with subject matter experts, data scientists can swiftly apply statistical tools and uncover emerging trends. This is extremely valuable for companies trying to operate in a disruption. Not only will executives have an accurate representation of their present situation, but new products & services can be devised from these insights.Read More →
Combat Supply Chain Disruptions with Data Science
Global external shocks are going to continue to happen, that is a fact of operating a business in today’s environment. As companies embrace data science in their decision-making processes, they are better positioned to deal with these disruptions, allowing them to manage a risk-optimized supply chain.Read More →
Price Optimization for Major Clearance Sales
A leading clothing manufacturer distributor and retailer of clothing realized they needed to fortify their pricing decisions with machine learning insights.Read More →
Predictive Retail Pricing
Retail executives need to think more like tech companies, using AI and machine learning not to just predict how to stock and staff their stores, but also to dynamically recommend products and set prices at the individual consumer level.Read More →
Demand Sensing & Predictive Inventory Planning
Meeting customer expectations is more difficult than ever, more and more of market share goes to companies who are able to perceive needs rather than react. Whether e-tailing or selling in brick-n-mortar stores, inventory planning is a promising area for predictive analytics,Read More →
Fusing Biometric Insights for Customer Segmentation
In post 2 of 4 on biometric modeling, we discuss how sporting teams and goods manufacturers can segment their consumer base using biometric insights.Read More →
The Promise of Biometric Analytics for Sporting Goods Manufacturers & Professional Teams
This is post 1 of a 4-part series focusing how data science can incorporate biometrics for sporting good manufacturers and professional sports teams.Read More →
Data Science and Design Thinking
Mosaic writes an in-depth view on the synergies between design thinking & data science. We also examine how these two disciplines can be used together.Read More →
Customer Segmentation for Geo-Targeted Marketing
Unsupervised learning approaches are very powerful when applied to customer segmentation.Read More →
Workforce Planning Prediction
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.Read More →
Forecasting Hotel Room Demand
Mosaic was engaged by a leading hotel chain to assess the best way to predict future demand for hotel rooms across their various properties.Read More →
AI-Enabled Retail Inventory Management
Retail inventory optimization is a great candidate use case to apply machine learning & deliver immediate business value.Read More →
Dispatch Routing Optimization
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.Read More →
Price Elasticity of Demand Automation
Mosaic built a custom pricing system powered by artificial intelligence that recommends prices for 150M SKUs.Read More →
Don’t see your specific problem? Drop us a line to see if we have worked on something similar.
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