Digital Retail Solutions

Reshaping Retail Through
Insights & Personalization

Delivering intelligent supply chains and customer insights to drive efficiency, enabling retailers to ensure that all aspects of their business run efficiently and seamlessly.

Overcoming Retail's Biggest Challenges

High Operational Cost

Inefficient Stores

Dissatisfied Customers

Inapt Targeting & Sales

Explore Digital Retail Solutions

Driving business growth, enhancing the customer experience, and building loyalty.

Industry Scenarios

Generating Business Value Across Industries

Enterprise solutions that provide real-time, actionable insights.

See How Organizations Are Innovating

+4x Increase in marketing agility by reducing time-to-market for recommendation models

Situation

Online fashion retailer ASOS had two intermeshed goals: to craft one data model solution where there would have been three, and to give its data science teams a satisfying, productivity-boosting collaboration model.

Solution

ASOS standardized on the Microsoft Azure Machine Learning service to build the models that support its fashion recommender, publishing brand recommendations for its 19.2 million customers to Azure Cosmos DB for global scalability.

Impact​

The company has achieved an AI transformation that drives down model build times from months to weeks, serving recommendations to its 19.2M customers. and improving collaboration and the model-building experience for its data scientists and engineers.

+3% Increase in online revenue per quarter by providing consistent service within seconds

Situation

Wolford has set high service standards in its boutique stores globally and wanted to find innovative ways of delivering the same high-level experience digitally when it started selling online.

Solution

Wolford created a luxury customer experience on its e-commerce website with an AI-powered shopping assistant chatbot. The AI engine uses Azure Cognitive (Bot) Services to support intent classification for fashion brands.

Impact​

Deployed in 14 countries, the sales assistant bot is effectively boosting online sales for Wolford. The data gathered is used to help the company identify trends and anticipate changes in customer tastes and demands, better positioning the company to create well-informed strategies.

Instant insights of fruit and vegetable availability status on shelves

Situation

As the first Turkish retailer to hold an R&D certificate, Migros wanted to find a way to transform the retail sector to streamline operations and improve customer satisfaction.

Solution

Using Azure Cognitive Services, Migros developed an AI powered system that obtains data from cameras installed in-store and can instantly recognize products and estimate shelf-occupancy rates.

Impact​

Migros can instantly monitor the amount and stock status of fruits and vegetables on the shelves and generate alarms about their condition. In addition, sell-out and automatic order situations can be easily managed.

+200% revenue vs. expectation in new store locations selected using Azure ML

Situation

Carhartt needed to factor in macroeconomic variables and the complexity of geographic-specific trends into their analytics and sales prediction forecasts to help them make quicker business decisions and remain competitive with online retail.

Solution

Carhartt used Azure Machine Learning to develop a new forecasting, selection, and go-to-market tool that combines more than 100 variables including climate, sales data, and consumer behaviour.

Impact​

Carhartt used the new tool to develop a list of new brick-and-mortar locations to help open three new stores. Within months, the new locations exceeded revenue by over 200%. The tool is now deployed to optimize sales with big-box retailers, online, and all physical Carhartt stores.

+40% improvement in prediction accuracy in a pilot of over 700 retail stores

Situation

PepsiCo wanted to give its frontline sales force the tools it needs to effectively and efficiently stock and manage store inventories and displays so that customers in each store find just the product they want.

Solution

Field workers use the Store DNA app, built with Azure Machine Learning and its machine learning operations capabilities, to identify trends and consumption patterns on a per-store basis so that available stock matches customer demand.

Impact​

PepsiCo is rolling out the Store DNA app to 14 US markets. Workers receive a tailored list of top priorities for weekly store visits, and the company estimates it’s shifting 4,300 days of work a year from tedious tasks to value-added activities.

Reduction of variance from 5% to 2.9% and $10M increase in revenue

Situation

The Canadian retailer was facing the challenge of understanding and resolving a significant variance that existed between written and delivered sales. This resulted in the loss of revenue and became a hassle for the management.

Solution

We implemented a Kalido Information Engine, a powerful data integration, and an MDM tool. This helped the retailer identify the critical factors that contributed to the issue, relative sales volumes, and associated delivery latency. We used the data warehouse solution for an analytical solution, allowing clarity about Open and Voided reasons.

Impact​

The solution provided real-time insights into the sales process, enabling the company to identify issues and address them proactively. This resulted in a significant reduction in variance from 5% to 2.9%, enabling the company to make better-informed decisions.

Reducing costs and empowering business users with self-service BI capabilities

Situation

The organization was facing high operating and support costs associated with its reporting system, which included licensing fees and more. Moreover, there was an IT dependency for report development and limited customization and features available.

Solution

The organization decided to migrate to PowerBI with self-service BI capabilities. This enabled business users to develop their own reports, reducing IT dependency and associated costs. PowerBI also offers drill-down functionality, which allows users to further analyze data at a granular level and offers optimal performance with no memory and speed constraints.

Impact​

The migration to PowerBI with self-service BI capabilities will have a significant impact on the organization. Its use resulted in a reduction in operating and support costs associated with their reporting system. It also empowered business users to develop their own reports. PowerBI’s features also enabled enhanced data insights, improving the quality and accuracy of business decisions.

Are you struggling to understand your customers’ behavior and preferences? Is your marketing strategy falling short due to ineffective targeting? 

Invest in an omnichannel data management system today and take your personalization efforts to the next level.