Care and Health 28th January 2021 - 3 min read

City of Wolverhampton Council partners with PredictX for a more integrated and predictive approach to measuring adult social care outcomes.

January 2021 – Advanced analytics provider PredictX, with the support of the City of Wolverhampton Council, used data science methodologies to allow local councils an easy way of proactively assessing health and social care outcomes in local po [ ... ]
By Joni Lindes Read...
Travel 27th August 2020 - 3 min read

PredictX launches Air Ticket Status Analytics

Reconciling tickets booked with airlines and matching airline waivers and policies has always been a time-intensive process. Additionally, there has been a historical data gap and lack of awareness around cancelled tickets and how to manage them. A r [ ... ]
By Joni Lindes Read...
Travel 11th August 2020 - 1 min read

Jason Kramer joins PredictX as Director of Sales (US)

August 2020 – Jason Kramer is joining the PredictX team as Director of Sales in the United States. Jason brings to us over twenty years of experience in various Consulting, Client Relationship and Sales roles within the travel industry. Most r [ ... ]
By Joni Lindes Read...
Travel 21st February 2020 - 2 min read

PredictX and Emburse Demonstrated Next-generation, AI-based, Expense Fraud Detection at the Business Travel Show

According to data from the Association on Certified Fraud Examiners, expense reimbursement fraud accounts for 17% of all business fraud. A 2018 Chrome River survey identifies expense reporting procedures as a direct influence on the likelihood that e [ ... ]
By Joni Lindes Read...
Travel 22nd January 2020 - 1 min read

PredictX product wins “Highly Commended” accolade at The Business Travel Awards

January 2020 – PredictX’s product “The Story” was awarded the “Highly Commended” award for Best New Travel Technology Product at the Business Travel Awards evening. Hosted by Buying Business Travel (a member of the BTN Group), the Business Trav [ ... ]
By Joni Lindes Read...
Travel 7th August 2019 - 1 min read

New tool from PredictX drives air market data transparency

August 2019 – PredictX released an analytical solution answering the common pain points experienced by buyers during the air supplier sourcing and management process. The PredictX Navigator uses machine learning, advanced analysis and predictiv [ ... ]
By Joni Lindes Read...
Travel 20th August 2018 - 2 min read

Travel Managers finally have their own Digital Assistant

PredictX is excited to begin making our brand new PredictX Digital Assistant available. Managers will be able to ask the PredictX Travel voice app questions regarding their travel program – eliminating the need to navigate specialised travel da [ ... ]
By Joni Lindes Read...
Travel 13th August 2018 - 2 min read

PredictX partners with FESTIVE ROAD to drive industry innovation

PredictX is excited to announce a brand new “Innovation Partnership” with leading travel and meetings engagement consultancy FESTIVE ROAD. FESTIVE ROAD Managing Partner Caroline Strachan and PredictX Managing Director Tom Tulloch discuss [ ... ]
By Joni Lindes Read...
Travel 17th January 2018 - 3 min read

UBS partners with PredictX to forecast travel spend and monitor ongoing expenditure

UBS has deployed PredictX’s predictive analytics platform to build realistic travel spend forecasts and improve visibility and control of procurement London, 17 January 2018: Today PredictX, the predictive analytics and data intelligence specialists, [ ... ]
By Joni Lindes Read...
Travel 23rd March 2016 - 5 min read

Snack Giant Mondelēz International Takes Jumbo Bite From Travel Spend

When a CFO says their company will cut its more than $100 million travel budget in half, only suppliers need to panic. For travel managers, it’s like a power-up. That’s how Ike Ihenacho has spent the past year and a half of his professional career— u [ ... ]
By Joni Lindes Read...

PredictX uses cookies to improve your experience on our website. Cookies enable you to enjoy certain features and they also help us understand how our site is being used. By continuing to use our site you consent to using cookies. More information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.