Best Decisions, Delivered Daily
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
Events & Awards
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