Trinetix

Only 23% of supply chain operations report their systems as fully integrated. The other 77% are running somewhere in between, TMS here, WMS there, and multiple spreadsheets. Why? These platforms were built years apart, by different vendors, to solve different problems. None of them were ever designed to hand data to the others cleanly. So someone does it by hand: re-keying tracking numbers, reconciling mismatched records, catching what the systems themselves never flagged. Almost everyone agrees integration matters. Almost nobody has actually knows how to close the gap. This is what we explain in our guide ⬇

Every M&A in logistics hides a second deal: a whole separate tech stack, solving the same problems you'd already solved your own way. All of these usually shows up a few months later, when leadership asks for one number, combined revenue, combined lane performance, combined customer view, and finds out the two systems have never been introduced to each other. The usual answer is a full migration onto one platform. That's a 12 to 18 month project. But there's a faster way to connect supply chain operations. We break it down in our guide ⬇

Supply chain operations run across ten to twenty systems ⚙. Each tool does its job well enough on its own. Here is an issue 🚨. Keeping those systems talking to each other costs $4.7 million a year on average, with IT staffing to maintain it climbing 61% year over year. That spend rarely shows up as one line item. It hides inside spreadsheets, manual exports, and the hours a team spends re-entering the same shipment data three separate times. Our new guide breaks down where that cost actually comes from and how to close that gap ⬇

🚀Businesses grow when leaders push boundaries. 🦾With Trinetix, you can transform your outside-the-box ideas into growth-enabling solutions. https://lnkd.in/dXYH3bhu

🎯Bring your challenges to Trinetix – and you will receive solutions based on detailed analysis of your niche, business culture, and growth needs.

We were working with a US-based transportation and 3PL provider that was operating at full capacity — not operationally, but procedurally. Every quote required the same five-step manual process 👉 Someone read the email. Someone extracted the load details. Someone reconciled conflicting information across systems. Someone calculated pricing. Someone drafted the response. That process worked. But it was the ceiling. It capped how many RFQs the team could handle. It limited response speed. And because every step required human judgment on incoming data, errors entered at every stage. The transformation didn't start with automation. It started with structure. The first move was creating a single place where all incoming RFP data could land in a consistent format — regardless of whether it arrived as a text thread, a spreadsheet, or an image. Multimodal AI extracted load details and mapped them into a unified data model. Validation caught missing or conflicting parameters before any pricing logic ran. Once the inputs were clean and consistent, everything downstream followed without forcing it. ✔️ Automated pricing. ✔️ Instant quote generation directly from email. ✔️ Analytics across RFP volume and win rates that the team had never had visibility into before. The outcome: more RFPs processed, faster response times, and win ratios that doubled. Not because people worked faster. Because the system stopped requiring people to fix data before using it. The full story — what was built and how it's working ➡ https://lnkd.in/djC4_VCQ