Retail Machine Learning Archives

Retail Machine Learning

Companies that can target specific consumers in real-time based on factors including their current location, past purchasing history, and demographic information with strategic offers planned using pricing revenue optimization gain significant marketplace separation over companies that continue to use conventional retail marketing tactics. Mosaic brings world-class predictive ML analytics and model development capabilities to our clients in the retail sector, enabling them to be more data-driven in all facets of their business for a competitive advantage.

White Papers

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.

By Sel Gerosa, 4 yearsMay 17, 2021 ago

Case Studies

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.

By Sel Gerosa, 4 yearsApril 1, 2021 ago

Case Studies

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.

By Drew Clancy, 5 yearsJuly 23, 2020 ago

White Papers

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.

By Drew Clancy, 5 yearsJuly 9, 2020 ago

Case Studies

Automated Cooking Prediction & Optimizer | Deep RL

Mosaic built an automated cooking prediction & optimizer using deep reinforcement learning to improve short term cooking operations.

By Drew Clancy, 5 yearsJuly 8, 2020 ago

Case Studies

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.

By Drew Clancy, 5 yearsJune 2, 2020 ago

White Papers

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.

By Drew Clancy, 5 yearsMay 7, 2020 ago

Blogs

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.

By Drew Clancy, 5 yearsMarch 24, 2020 ago

Blogs

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.

By Drew Clancy, 5 yearsMarch 17, 2020 ago

Case Studies

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.

By Drew Clancy, 6 yearsFebruary 3, 2020 ago

Retail Machine Learning

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