Solutions

Retail Data Solutions

Top 10 Use Cases for Machine Learning in Retail

Introduction Benefits Reviews Case Studies Services Insights Speak to an expert

INTRODUCTION

The potential value to your Retail business is limitless.

By analysing vast amounts of customer data, retailers can gain valuable insights into consumer behaviour and preferences, allowing them to personalise the shopping experience and offer targeted promotions.

BENEFITS

How can Calligo help your Retail business?

Demand Forecasting

Predicting demand geography allows for more efficient shipping, produces higher sales, and eliminates losses from excess inventory.

Data Anonymization

Having anonymized data allows companies to better utilize or sell the data and protects against the large expenses that could be incurred from data loss.

Customer Segmentation

Grouping customers allows for more effective marketing, a more profitable product selection, lower risks, and better understanding of where expansion should occur.

Sales Trends

Understanding sales trends over time can lead to better decisions around inventory, products, expansion, or store closures, all of which increase revenue or reduce costs.

New Product Release

Understanding demand for a new product leads to more product choices, higher sales, and better store inventories that meet customer demand.

Price Optimisation

Identifying the optimal price for products maximises profit by achieving either higher sales or by higher margins. Price optimisation also reduces unsold inventory.

Store Location Optimisation

Having ideal retail locations drives revenue and limits losses from underperforming locations.

Shelf-Space Optimisation

Optimising shelf-space allows for higher store-wide revenue and product-specific revenue.

Product Lifecycle

Knowing the lifecycle of a product allows retailers to optimise shelf space and appropriately stock a product as demand increases and decreases.

Storage and Logistics

By predicting future product consumption, retailers can reduce the amount of over-stocking, thus reducing storage and logistics costs.

1 of

REVIEWS

See what our clients say about us

The reason Calligo’s machine learning predictions have been proven to be so accurate is not just down to their data science skills. It is because they have an unusual blend of technical expertise and commercial understanding. Statistically-accurate models are commonplace. But teams that can create models that are both mathematically precise and also commercially savvy are very rare, and it is what Calligo specialises in.

Michael Boese
Senior Manager of Strategic Transformation at T-Mobile

Calligo did a great job of helping Sunrun understand the art of the possible. Calligo came into our business and really taught us best practices in terms of Tableau application and what good looks like.

Steve Maier
Senior Manager, Data Services at Sunrun

The skills required to perform this sort of analysis were almost as varied as the datasets themselves. The project had to be planned strategically, requiring in these early stages more business analysis capability than data science. There were then substantial amounts of expert data cleansing and re-architecture required to ensure the intended insights would be extractable. And then once the data scientists had built and painstakingly fine-tuned the custom models, the team then also distilled the mathematical outputs into comprehensible, usable outputs. From commercial strategy to data architecture and data science, Calligo’s special mix of capabilities was exactly what this project needed.

Michael Boese
Senior Manager of Strategic Transformation at T-Mobile

Data science projects often slip up by not sufficiently considering the end user, and how the output is intended to be used in practice. If humans are expected to make decisions based on the model’s calculations, then the data needs to be presented contextually, interactively and attractively. Calligo’s dashboards and visualizations allowed our teams – most of whom had no analytical experience – to interact with some of the most advanced data science they would perhaps ever come across, and make strategic decisions simply and confidently. The importance of this skillset cannot be underestimated.

Michael Boese
Senior Manager of Strategic Transformation at T-Mobile

1 of