The freight market is on a roller‑coaster and the latest FreightWaves interview with Pawan Joshi, SVP of E2open, proves it. He rattles off the numbers – capacity utilization up 7% YoY, spot rates up 15% in the last quarter – and then tells operators to stop guessing and start using predictive analytics.
What happened
In the interview, Joshi explains how the pandemic‑era surge, the current driver shortage, and the lingering port bottlenecks have created a perfect storm. He notes that order‑to‑delivery times are now 20‑30% longer on average and that volatility indexes for spot pricing have hit a five‑year high. E2open is pushing a new SaaS suite that aggregates real‑time lane data, weather, labor strikes, and even geopolitical risk (think tariffs on Canadian lumber).
Why it matters for dispatchers/drivers
Dispatchers are the data‑to‑doorstep translators. If you keep relying on stale rate sheets, you’ll lose loads to brokers who have real‑time dashboards. Drivers feel the pain when dispatchers over‑promise on delivery windows – the result is more HOS violations and higher fatigue risk. Joshi’s message is simple: use data to build buffers, not just to chase the highest spot rate.
My take
Joshi’s hype about “AI‑driven risk buffers” sounds slick, but the truth is we’ve been living it for years. The difference now is the tools are finally affordable for mid‑size fleets. If you ignore them, you’ll get sandwiched between high‑priced spot contracts and empty backhauls. At EK Dispatch Academy we teach our students how to read these dashboards and embed them into daily load‑matching. It’s not optional – it’s survival.
What you should do
- Integrate a real‑time lane visibility platform (E2open, FourKites, project44) into your dispatch workflow.
- Build a **10‑15% capacity buffer** into driver schedules to absorb unexpected delays.
- Train your team on data‑driven decision‑making; EK Dispatch Academy offers a module on predictive freight analytics.
*— Ekjot Singh, Founder, EK Dispatch Academy*