Consumer Products Machine Learning & AI Solutions
AI is automating and personalizing the consumer products industry
Artificial intelligence and machine learning are taking the consumer products world by storm and will continue to do so alongside the success of adopters. A report by BCG and Google indicated that CPG companies that deploy AI and ML applications at scale could boost revenue by at least 10%.
On top of achieving higher sales, companies can benefit by reducing manufacturing costs, transforming the supply chain, and improving the brand. In a recent Statista survey, about half of respondents from the consumer goods industry stated that deploying AI can help improve customer care. Additionally, 47% of respondents stated that AI can greatly enhance inventory management by helping to effectively manage costs and buyers’ needs.
Mosaic is well suited to partner with any CPG company to make these solutions work for you and your business. Our world-class team of data scientists has developed and deployed advanced customer and market analytics for various customers with proven success. This includes customer segmentation, market analysis, customer propensity models, demand forecasting & inventory optimization, cannibalization analysis, pricing & revenue optimization, and recommender models for some of the globe’s leading CPG firms.
Our custom solutions aim to solve legacy industry problems by using unsupervised and supervised learning techniques. We will work with you to develop innovative and effective approaches to create insights that are both descriptive and predictive.
Featured CPG Clients
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Mosaic has deployed AI, ML, and advanced analytics for the following CPG use cases
Predict Backorders with Custom ML
Mosaic helps manufacturers adopt automation & insights as key heuristics in the process of keeping product in stock and planning for demand.
ML-Charged Forecasting
Automate and improve trend, revenue, product, and demand forecasting with fresh ML approaches from Mosaic.
AI-Powered Defect Detection
Mosaic helps CPG firms deploy custom, scalable AI that detects product defects for global production.
Sales Routing Optimziation
Optimize salesforce routing using custom ML & AI tools that route sales resources to generate the highest ROI and minimize inefficiencies.
Explore Some of Our Consumer Product Goods Use Cases
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 →
Detect Defects on the Line with Computer Vision
Deep learning, specifically computer vision and natural language processing, can be designed to identify defects during the product packaging process. These deep learning models can verify that a label on a package is present, correct, straight, and readable.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 →
Wholesale Cannibalization Analysis
A leading CPG company wanted to diagnose cannibalization hypotheses using a data-analytics-driven approach. Read More →
Automated CPG Sales Force Route Forecasting
Data Science, specifically machine learning forecasting techniques, enables decision makers across a spectrum of industries to set more effective sales targets and plan profitable customer routes that boost top and bottom line growth. Read More →
Deploying Analytics for CPG Late Delivery Prediction
We designed and deployed an AI model to predict shipments at risk of late fees for one of the world’s largest CPG businesses.Read More →
Daily Store-Order Prediction Case Study
Our AI consultants designed and deployed a custom tool to forecast store-level demand for a leading food & beverage manufacturer. 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 →