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Discover how Veraqor can assist you in preparing for AI, enhancing human experiences, and unleashing fresh opportunities for value and growth.
Enterprise solutions that provide real-time insights from data to intelligence.
+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.
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.
+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.
We’re taking advantage of the Azure Databricks shared environment—we’ve made it our preferred collaboration platform, and it’s helping our data scientists and engineers share more and get to the next level of AI sophistication.
Situation
Safety is at the heart of everything Shell does. From exploration to extraction and all the way to retail vending, Shell prioritizes the safety of its employees, contractors, partners and customers, and the environment.
Solution
Shell is piloting a new cloud-based, deep learning solution built on Microsoft Azure. Using closed-circuit camera footage and IoT technology to automatically identify safety hazards and alert service champions so they can quickly respond and eliminate potential problems.
Impact
Using machine vision technology, combined with automated image processing and analysis, VADR (Video Analytics for Downstream Retail) adds an extra level of safety for people and the environment.
Only Microsoft offered the proven, cutting-edge technologies and models that have been trained on Microsoft data sets on a very large scale and are available completely disconnected…. All of this accelerates our time to market, and that has been the key differentiator for us.
Situation
Airbus innovates continually, ever mindful of the strict security requirements that constrain many of its customers, like government agencies and international security organizations. It also envisioned AI applications to reimagine answers to complex problems.
Solution
The company created its own restricted cloud with Azure AI solutions, like its aircraft anomaly detector. It used Azure Cognitive Services to create a pilot training chatbot and a predictive maintenance solution based on Anomaly Detector.
Impact
Airbus uses the built-in functionality of Cognitive Services and Azure AI solutions to hasten development, shortening time to market. The solutions it is creating have myriad benefits, from optimizing military aircraft maintenance to making pilot training more effective.
We discovered that Azure Digital Twins is already purpose-built to do what we want to do. Instead of taking a graph database and then having to build from scratch on top of it, we have all that functionality out of the box.
Situation
GE Aviation’s Digital Group needed to combine two disparate systems for recording aircraft maintenance and in-flight performance to increase efficiency, reduce costs, minimize unplanned downtime, and meet strict industry safety standards.
Solution
GE Aviation’s Digital Group deployed Microsoft Azure Cognitive Services to digitize its maintenance records system and is using Azure Digital Twins to create a living data ecosystem and a traceable digital record of each aircraft’s maintenance, performance, history, and health.
Impact
GE Aviation’s Digital Group will offer a unique competitive advantage—accurate, efficient reporting capabilities and proof of compliance documentation for customers, from the fleet level to the individual aircraft and component level.
