Spent a decade in TMS pre-sales and delivery for heavy equipment and packaging manufacturers across Europe. Today she helps shippers cut through vendor promises and design SOPs and dashboards that actually work.
Your TMS was handling 500 shipments per day just fine last quarter. Now you're hitting 2,000 daily and response times crawl to minutes instead of seconds. Sound familiar? The TMS scalability problems you're experiencing aren't technical glitches—they're capacity walls. As
Your TMS workflow automation has more potential to fail in the first 90 days than any other critical period. Only 26% of organizations report being ready for automation implementation, yet 91% plan to expand automation investments. The difference between those who succeed and those who struggle? A systematic approach to
Your TMS went live six months ago. The initial rollout looked successful—carriers were connected, rates loaded, labels printed. But now you're dealing with webhook backlogs, users working around the system, and performance complaints from operations. Sound familiar? Up to 40 percent of TMS implementations fail by some
Multi-modal shipments create tracking nightmares that single-mode TMS configurations simply can't handle. Container-to-truck handoffs fail 23% of the time because your ocean freight API speaks different languages than your trucking carrier API. Rail-to-road transitions? Even worse when port delays cascade through every downstream mode. You need a TMS
When your FedEx rate lookup fails at 3:42 PM on Black Friday, over 90% of organizations report downtime costs exceeding $300,000 per hour. Every minute spent troubleshooting carrier API authentication errors costs your operations team revenue and customer satisfaction. The issue manifested as intermittent 401 responses during peak
Your TMS analytics dashboard shows perfect numbers. On-time delivery sits at 98%, carrier spend looks optimized, and route efficiency metrics hit industry benchmarks. Data quality issues directly impact business decisions and operational efficiency. From inaccurate decisions to failed audits, the cost of poor-quality data compounds quickly across operations, analytics, and
Poor TMS data quality costs more than you think. Poor data quality costs businesses an average of $12.9 million per year, and reduces overall shipping costs up to 15% annually when addressed properly. Your routing algorithms fail when product dimensions are wrong. Your carrier contracts become disputes when BOL
Your TMS data migration just failed. Three months of planning, hundreds of thousands invested, and now you're facing Monday morning with broken rate calculations, missing customer records, and a warehouse team that can't print labels. Sound familiar? You're not alone. Research shows that 30%
Your TMS shows a green checkmark for every shipment. Your dashboard claims 98% on-time performance. Then you get the call: three critical shipments disappeared somewhere between Chicago and Denver, and your biggest customer wants answers you don't have. Most TMS platforms promise real-time visibility but deliver something closer
When Starbucks fell victim to the Blue Yonder ransomware attack in November 2024, baristas couldn't get paid and schedules turned to chaos. The coffee giant had to revert to manual calculations for employee pay. Meanwhile, Morrisons attributed slower Christmas sales to the disruption. These weren't small
Too many companies botch migration because they're in a hurry, and it can cause significant problems. Without effective change management, businesses may experience resistance from employees, operational disruptions, and a decrease in productivity. Your TMS cloud migration went live three weeks ago. Users are logged in, carriers are
Your TMS operations team needs to deploy AI autonomous agents - the question isn't if, but when and how. Only 37% of organizations have deeply integrated AI and machine learning in their TMS today, yet 61% anticipate fully autonomous Agentic AI within five years. 48% of organizations currently