Applying Artificial Intelligence to the Retail Plastic Problem

Intelligent Pricing Could Help to Eliminate Waste from Luxury Brands

The Case of the Missing Aubergine

AI-Powered Price Optimization Could Boost the UK Retail Market

Blue Yonder’s World Cup Run: AI turns its Attention From Retail to Goal Scoring

Could Intelligent Pricing Help to Win Back Customers and Drive Sales?

Retail Revival or Fight For Survival? AI is Driving a New Era.

Blue Yonder Recognized as Finalist for 2018 Microsoft Partner of the Year Awards

Asda-Sainsbury’s Merger: How Synergies Support Grocery Retail Growth

Ernsting’s family’s Fast Fashion Model Demonstrates the Importance of Price Optimization

The Future of Commerce: The Importance of Innovation

Why Is In-Store Grocery Shopping Still No. 1 Choice for Consumers?

How Is Blue Yonder Using AI to Transform Retail?

How Retailers Handle Price Wars: Europe Versus the US

Empowering the Retail Workforce with AI

What Can AI do to Help Reduce Plastic Waste in Supermarkets?

Global or Local: What Do Grocery Shoppers Want?

Blue Yonder and Microsoft Go Down a Storm at NRF 2018: Retail’s Big Show

Blue Yonder Named on Constellation ShortList for Price Optimization Solutions

AI in Retail: How Does Automation Increase Productivity?

Do we Need Data to Understand the Modern Consumer?

AI in Retail: See How Otto Embraced Innovation

Artificial Intelligence in Retail: Does it Solve the Complexity?

Making an impact in 20-AI-teen

Bonprix Sets Prices With AI-based Price Optimization

Artificial Intelligence in Retail — Solving UK’s Brexit Stock Problem

Tesco’s Green Satsumas Show the a-peel of Reducing Food Waste

The Science of Winning Customers' Hearts: How to Build an Effective Retail AI Strategy

The Power of AI in Retail: What the Experts Say

Blue Yonder Recognized for Innovative Food Replenishment Software

Enabling Smarter Decisions in Retail with Artificial Intelligence

How Can AI Make Fashion Retail More Responsive?

Thought for Food: How Can AI Help Supermarkets Innovate Their Fresh Food Replenishment Model?

Blue Yonder Listed in Gartner Hype Cycles

7 Ways Retailers Benefit From AI

Black Friday Best Practice: Why it Pays to Get Peak Right

3 Award Nominations that Prove Our AI is Delivering Real Value

Building Robust AI Systems – Part II

Power to The People: Why Man + Machine Learning = Maximum Productivity

The Promise of Artificial Intelligence & the Reality of Super-Human Performance

The New Retail Balance Sheet: Why Data is an Asset – and How to Value It

Building Robust AI Systems – Part I

Smarter Working: Why AI Empowers the Retail Workforce

My Metric is Better Than Yours – Optimizing Business Decisions with AI

Waste Away: How New Replenishment Models Are Reducing Shrink

How to Win the Grocery War One Customer at a Time

We Need to Talk About Your Data - Data Quality in the Age of AI

Why Sales Are Disappointing Fashion Shoppers

Retailers Must Optimize Pricing to Delight Discount-hungry Shoppers

Building AI Applications – It’s More than Sticking AI in Front of It

Big Data vs. Artificial Intelligence

How to Build an AI Strategy

Price Optimization: Improve Revenues and Customer Experience

A Cultural Change – How AI Drives Change Management

The (new) Relationship between Humans and Artificial Intelligence

How Artificial Intelligence Optimizes Decisions in the Presence of Uncertainty (Part 2)

100 % Fresh and Optimal Product Availability in Grocery Retail

How Artificial Intelligence Optimizes Decisions in Uncertainty (Part 1)

Replenishment Optimization Provides Morrisons with the Best Availability

Machine Learning and Automating Decisions - Algorithms Define Action

EuroShop 2017 – Retail’s next big thing: Artificial Intelligence

Machine Learning and Artificial Intelligence

How UK Retailers can successfully navigate Brexit

Artificial Intelligence and Machine Learning - the new Era in Retail?

‘Courgette Crisis’ Highlights Importance of Fresh Assortments in Grocery Retail

Physicists Disrupting Retail - Part 2

Physicists Disrupting Retail - Part 1

Grocery Store Availability Leaves Customers Dissatisfied, but Retailers are Unaware of the Severity of the Problem

Solution for a Resolution

Weathering the Winter in Retail

Fresh: The Most Important Battlefield for Grocery Retail

NRF 2017: Getting a Fresh Perspective

Artificial Intelligence: Silver bullet for retail?

Grocery retailers need to improve their pricing decisions

Believe the Hype: Blue Yonder Receives Gartner Endorsement

Avoid food waste! Consumers are likely to buy wonky fruit and veg

46% of grocery retailers are still basing replenishment decisions on ‘gut feeling’

Grocery retailers struggling with speed of decisions as customer expectations rise

How is the weather affecting retailers’ pricing and replenishment?

Customer Experience in the Digital Age

We are Shortlisted for the Retail Week Supply Chain Awards

Machine Learning Is the Backbone of Next Generation Retail Applications

Mind the Execution Gap

Euro 2016: Surprises and predictions before the quarterfinals

What customers want

Euro 2016: Wales’ chances have significantly improved

Spoiler alert: We’ve predicted who will win Euro 2016

Who will win the European Championship 2016?

New Stores, New Problems?

Retail Week Live: Algorithms Revolutionize Retail

Don't be a (food) waster. Use your data.

Automated stock replenishment on Valentine's Day

Big Data vs. AI

To learn from retail means to learn (digital) transformation

NRF 2016 Big Show – Creating theatre and losing the audience?

Valid Predictions and Automation to Strengthen Business

Why a Silo Mentality Stifles Progress in Companies

Innovations in the Supply Chain: a Summary of the 5th Aviation Forum

Predictions for 2016: The Year of the Algorithm

Why Predictive Applications are Cloud-native

Fifth Aviation Forum: Innovations in the Supply Chain

Summary Data Natives 2015: The Value of Data for Businesses

Big Data – a field that is yet to be plowed

Data Natives: Are workplaces snuffing out Predictive Applications?

Mercator customer conference: Predictive analytics in aviation

Summary Budapest BI Forum: Science meets Business

Conference: Big data as strategic value creation instrument

Avoiding declining sales figures

Industry 4.0 at Harvard. More than big data and industry

The Budapest BI Forum. We will be there!

Data science is not a marketing discipline

Transparency in pricing : Where would we be without technology?

Automated decisions in real time

Technology Review: Blue Yonder is one of the most innovative enterprises

Algorithms Are the Engine of Digitalization

EuroPython — the five best presentations

Data Science in Bilbao: Blue Yonder sharing its experience at EuroPython 2015

Predictions as a Probability Density Distribution

Scalable Data Science: Apache Aurora at Blue Yonder

Prizeworthy: the new dynamic pricing solution for dynamic online retailers

Automated processes are the gold of the digital future

New: The Blue Yonder Book

How random is our daily life?

Welcome to digital reality – Today, 99 percent of all business processes can be automated

The Difference Between Enterprise and Consumer Predictive Applications

Causality is not overrated

The Causality Trap

Customer Data Platform: Toward the personalization of customer experiences in real time

The potential of causal data science

Optimized sales planning with Forward Demand 5.0

Anticipating customer wishes with predictive applications

5 Painful Prediction Pitfalls

The media industry: using predictive applications to draw the right conclusions

Do you use a predictive application ?

Industry 4.0: Chips against data bottlenecks

Research Project iPRODICT: Internet of Things Daily Production.

Michael Feindt spends time with David Cameron and Angela Merkel

A great start …

The food industry plans better with Blue Yonder

Towns and cities across the country are seeing the light by reducing costs with connected services

Which environment to choose for Data Science?

Blue Yonder — in the leader quadrant of Experton's big data vendor benchmarks

Digital change transforms the entire enterprise

Blue Vantage: Your big data guide

Big Data Analytics in Logistics: Best Practices

PAC study: Reliable product manufacturing with predictive analytics

Ask, measure, learn: Big Data Analytics in practice

Statistics and neural networks for accurate forecasts

Measured in key figures: selling better with dynamic prices

Better mobility options: Bike sharing with big data

Automated mass decisions with the Blue Yonder platform

Why Dynamic Pricing Is Critical For Today’s Multichannel Retailer

Predictive Analytics as knowledge source: OTTO wins innovation award

The Smart Data Innovation Lab: Smart data from big data

Securing the future of Germany's economy with digital infrastructures

Where big data really is BIG: the most complex machine in the world

Experton's forecast for Germany: Industry 4.0 will become a mega-trend

Democratizing insights derived from data

The Data Science Academy: reflecting real-world practice, and aimed at strategic managers

Democratizing Big Data and Predictive Analytics

Predictive Analytics for campaign efficiency and intelligent rates

Big data projects: separate roles, but a common goal

By people, for people: big data analytics

Forward Demand: Data Science powered SaaS solution designed for business users

An engine for innovation: big data and predictive analytics in Germany

Inaccurate forecasts are compromising profits

On the way to the predictive enterprise

Ovum recommends Predictive Analytics Suite

The Industrial Internet: Welcome to Europe

Industrial Big Data highlights its usefulness for the economy

From data pool to information stream

Tracker dogs in the virtual realm

Gartner: Better insight with predictive analytics

Flexible prices: Speed is not rocket science

Analytical Thinking and Perseverance

Digital conference: Innovation, technology, education

Ordering Just What’s Needed: Automated Goods Procurement in the Retail Food Industry

Availability of goods: "Retail, manufacturers and logistics agents must all work together"

Software for Visionaries: Predictive Analytics in the Retail Industry