Today’s volatile supply chain landscape leaves manufacturers and distributors facing a stubborn trio of pain points: a forever labor shortage, razor-thin margins, and intensifying pressure to cut carbon. In the latest episode of MetaPod, host Ron Crabtree welcomes Rich Savoie, co-founder of Adiona Tech, to unpack how artificial intelligence (AI) and data harmonization can turn those challenges into competitive advantages.
Why Logistics Efficiency is Everyone’s Problem
Rich begins with a reminder that supply chains are the operating system of the world economy. Even something as simple as a desk lamp requires raw materials, components, and final assembly that may traverse multiple continents, yet global labor pools are shrinking. As of May 2025, the United States alone has 450,000 unfilled manufacturing jobs. Transport and warehousing firms report similar shortfalls, with 60% struggling to recruit. This talent gap pushes costs higher and erodes service levels unless organizations learn to do more with less.
The Three-Part Diagnostic for Smarter Logistics
Rich recommends a structured, data-driven diagnostic before investing in new technology. His framework targets three key areas:
- Operational Efficiency
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- What to Measure: Process cycle times, hand-offs, error rates
- Why It Matters: Reveals high-effort, low-value steps perfect for automation.
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- Sustainability KPIs
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- What to Measure: Scope 1-3 emissions, fuel burn, carbon per shipment
- Why It Matters: Aligns cost savings with decarbonization targets and ESG reporting mandates
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- Resource Optimization
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- What to Measure: Labor hours, asset utilization, contractor mix
- Why It Matters: Indicates how to redeploy scarce talent and scale capacity without adding headcount
Step 1: Harmonize Your Data With AI
Most manufacturers juggle multiple ERPs, WMSs, and invoicing tools. Adiona Tech’s first use case for AI tackled the classic extract-transform-load (ETL) headache: normalizing messy, soiled data into a single harmonized format. Large language models (LLMs) excel at mapping disparate fields and cleaning formats, often in weeks, not months. Once data is organized, leaders can run a Pareto analysis to identify the 20 percent of process steps causing 80 percent of delays and labor spending.
Rich shares an example of a transport client who discovered that consolidating six invoicing systems exposed loss-making customers they never knew they had. This tripled their margin-improvement opportunity.
Step 2: Link Cost & Carbon in One KPI Set
Efficiency and sustainability should be treated as two sides of the same coin. Rich cites a cautionary tale: shipping 5 kg bags of champagne corks thousands of miles for recycling produced more CO2 than it saved. By simulating the entire journey in a digital twin, the company learned to redesign the program before incurring real-world costs.
As a best practice, track time, distance, and fuel at every shipment leg. Then, translate those metrics into both dollars and kilograms of CO2. When finance and ESG teams share a dashboard, the business naturally prioritizes projects that shrink both budgets and emissions.
Step 3: Pilot, Measure, Iterate
Rather than attempting a “big-bang” overhaul, Rich urges incremental pilots:
- Nominate an owner. Make logistics efficiency part of someone’s job description and bonus plan.
- Set leading KPIs. Early metrics (e.g., data-field match rate) may dissolve once processes are automated. Be ready to refresh targets.
- Run sandbox experiments. Use digital twins to test new routing, pricing, or workforce models without disrupting real operations.
- Scale what works. Quick wins build executive confidence and free up budget for the next AI wave – agentic systems that can automatically optimize loads and schedules.
Partner for the Long Haul
Technology alone won’t guarantee success. Enterprises should vet vendors for domain expertise and staying power. A niche, logistics-focused tool often outperforms a generic “do-everything” platform and mitigates the risk of costly rip-and-replace projects down the road.
Connect and Learn More
If you have additional questions or would like to discuss how your organization can use AI to do more with less, you can get in touch with Rich by connecting with him on LinkedIn or visiting adionatech.com. You can also get in touch with Ron via email at metapod@metaexperts.com or connect with him on LinkedIn.
MetaPod offers a wealth of knowledge and expertise for operational executives and organizations seeking to optimize their operations and supply chains, as well as common challenges such as digital transformation, the forever labor shortage, and doing more with less. Listen and subscribe today for more insightful and engaging discussions on operational excellence, leadership, growth strategies, and organizational transformation.