September 25, 2024
Data Modernization for Manufacturing
Unlock the potential of manufacturing data by overcoming silos, poor data quality, and governance challenges to drive efficiency and a competitive edge.
September 24, 2024
The Future of Supply Chain Planning – Embracing AI
Discover how AI is transforming supply chain planning, with success stories of businesses cutting lead times by 35% and reducing downtime by 25%.
September 13, 2024
AI-Powered Tableau to Power BI Migration
Accelerate your Tableau to Power BI migration with 60% automation and 30% cost savings through our AI-powered framework.
January 24, 2024
Top 3 Reasons to Consider Kinaxis for Your Planning Goals
Achieve your planning goals with Kinaxis technology. Ramji Mani highlights the top three ways Kinaxis sets itself apart from other planning software.
January 16, 2024
A Look Back at Bristlecone’s 2023 Highlights
Bristlecone had an eventful 2023! We learned a lot and got in on important conversations shaping the future of supply chain. Here’s a look back.
November 17, 2023
Thrive! Bay Area Dinner Event – November 2023
“Experiences narrated by the panel were nothing short of mesmerizing,” said one Bay Area senior technology leader who attended Thrive on November 7, 2023.
October 18, 2023
Accelerating Order Fulfillment
It’s an era of instant service – from two-minute noodles to same-day deliveries. How are consumer durables companies enhancing their delivery efficiency and meeting demands for rapid fulfillment?
October 17, 2023
SAP Ariba Procurement Applications Optimization Program
Learn how to optimize source-to-pay processes to enhance efficiency, reduce costs, and ensure better supplier relationships and compliance.
October 3, 2023
5 Ways to Decrease Your Logistics Spend by 8%
With ProvisionAI's LevelLoad, Kimberly-Clark was able to fill their trucks more efficiently and greatly decrease volatility, resulting in millions in savings.
October 3, 2023
Large Tractor Manufacturer Now Predicts Customers’ Repurchase Inclination with 86% Accuracy
The manufacturer wanted to predict the propensity for existing customers to buy from them again by understanding the factors that drive repurchase decisions.
