B2B case study template with data points and a real story arc

# Case Study: How Helios Logistics Cut Dispatch Errors by 83% in 90 Days **A Fortune 1000 freight broker replaced three tools with one and saved 14,000 hours a year.** --- ## Customer Profile - **Industry:** Third-party logistics (3PL) / freight brokerage - **Size:** 1,400 employees across 11 US hubs - **Stack before:** Legacy TMS (2009 era), custom Excel dispatch sheets, standalone phone-tree routing - **Region:** North America (primarily Midwest corridors) - **Annual load volume:** 2.3M shipments --- ## Before: The 2am Problem Helios dispatchers worked in three tabs and a phone. A load coming off a ship in Long Beach could take 45 minutes to route — pulling rates from one system, carrier availability from another, and compliance from a third. The real cost wasn't time. It was errors. "We had a 6% dispatch error rate," says Maria Delgado, VP of Operations. "Every error costs us somewhere between \$800 and \$4,000. On 2.3 million loads a year, you do the math." The 2am shift was worst. Night dispatchers — usually newer hires — handled the same volume with half the oversight. In Q3 2024, one misrouted container cost Helios a \$340,000 customer relationship. --- ## The Trigger Event In October 2024, a major retail client threatened to pull its contract after three consecutive quarters of missed SLAs. The contract represented \$47M in annual revenue. Maria had six weeks to prove Helios could fix dispatch reliability. --- ## Why Solution X Helios evaluated four platforms. Three were eliminated in week one: one didn't integrate with their legacy TMS, one required a full data migration, and one couldn't handle their rate complexity. The winner was chosen for three reasons: 1. **API-first architecture** meant no rip-and-replace of the 2009 TMS 2. **Carrier matching logic** ran in under 400ms vs. 8-12 minutes manual 3. **The rollout timeline** — 14 days to pilot, 60 days to full deployment --- ## The Rollout (The Honest Version) Week 1-2 was rough. Night-shift dispatchers resisted the new workflow. Three senior dispatchers threatened to quit. The turnaround came in week 3 when the pilot team hit a 97% accuracy rate on their first full shift. By week 6, adoption was at 89%. By week 10, the holdouts were converting themselves — once they saw their peers ending shifts two hours earlier. --- ## Results: 90 Days In **Hero Metrics** - **83% reduction** in dispatch errors (6.1% → 1.0%) - **14,000 hours saved** annually across dispatch team - **\$2.1M in error-cost avoidance** (projected annual run-rate) **Secondary Metrics** - Time-to-route: 45 min → 6 min - Night-shift error rate: 11% → 1.4% - Customer SLA compliance: 87% → 99.2% - New-hire ramp time: 12 weeks → 4 weeks - Retail client retention: \$47M contract renewed + expanded --- ## The Champion's Take > "We didn't need a new TMS. We needed the tool between our dispatchers and chaos. That's what this became." > — Maria Delgado, VP of Operations, Helios Logistics --- ## What Maria Would Tell a Peer "Don't over-scope the pilot. We tried to roll out five hubs at once in our first attempt — and it almost killed the project. Pick one hub, one shift, one hard metric. Win that, then expand. Also — involve your dispatchers in the config, not just the training. The best routing rules in our system came from a 58-year-old dispatcher in Indianapolis who'd been doing this job since 1991."