01Why direct?Research-backed argument→ 02Show me the proofStudies and case studies→ 03How can Goldmax do this for us?Capabilities and lane evaluation Send us a lane →
Research & case studies

What the research says about direct carrier capacity.

Transportation research provides useful evidence about how asset carriers, brokers, routing guides, carrier relationships and transportation costs behave under different market conditions. Don’t take our word for it. Look at the research.

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Six studies, labeled by what they are

Peer-reviewed research, MIT research, graduate research and company-published case studies, told apart.

Independent academic research

MIT: Asset carriers vs. non-asset providers

Asset-based primary carriers were approximately five times more likely to stick to contract-priced loads than non-asset providers, in both soft and tight markets.

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5×

more likely to stick to contract-priced loads

MIT graduate research

MIT: The cost of routing-guide failure

MIT research found that average backup-carrier prices were approximately 9–12% above contract prices, depending on routing-guide depth, while average spot rates were approximately 23–35% above contract rates, depending on market conditions.

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+9–12%

backup-carrier premium over contract; spot market +23–35%

Peer-reviewed journal article

Hershey: Carrier relationships and capacity commitment

A 2007 study based on data and expertise provided by The Hershey Company found that closer shipper-carrier relationships significantly influenced carriers’ willingness to commit assets and accept loads during periods of constrained transportation capacity.

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Capacity

closer relationships influenced willingness to commit assets and accept loads when capacity was constrained

Carrier-published customer case study

National retailer moves from non-asset providers to an asset-based model

A national retail chain that had relied substantially on non-asset providers for more than ten years moved its recurring freight toward an asset-based model.

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16 → 22

lanes awarded after the first year

Consultant-published client case study · ocean freight

Drewry: Moving part of a network direct to carriers

An ocean-freight procurement case, not truckload: about 25% of a global retailer’s volume moved to direct carrier contracts.

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25%

of volume ultimately allocated directly to carriers

Independent academic research

MIT FreightLab: Where brokers have the advantage

The research doesn’t say “never use a broker.” On historically volatile-demand lanes, shipments were 2.3× more likely to be accepted by brokers than asset carriers, and unexpected surge shipments were roughly 2× more likely to be accepted by a broker.

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2.3×

more likely to be accepted by brokers on historically volatile-demand lanes

Where brokers win

The research doesn’t say “never use a broker.”

Brokerage networks earn their place on volatile freight, unexpected freight, surge demand, new markets, one-off lanes, recovery and network gaps.

Direct carrier capacity for the core.

Brokerage flexibility around the edges.

Full sources

Bibliography

  1. 01Acocella, A., Caplice, C. & Sheffi, Y. (2022). The End of “Set It and Forget It” Pricing? Opportunities for Market-Based Freight Contracts. MIT Center for Transportation & Logistics. arXiv:2202.02367; DOI 10.48550/arXiv.2202.02367. Source: The End of “Set It and Forget It” Pricing? Opportunities for Market-Based Freight Contracts (opens in a new tab)
  2. 02Aemireddy, N. R. & Yuan, X. (2019). Root Cause Analysis and Impact of Unplanned Procurement on Truckload Transportation Costs. MIT Center for Transportation & Logistics. Advisor: Chris Caplice, PhD. Source: Root Cause Analysis and Impact of Unplanned Procurement on Truckload Transportation Costs (opens in a new tab)
  3. 03Acocella, A., Caplice, C. & Sheffi, Y. (2020). Elephants or Goldfish? An Empirical Analysis of Carrier Reciprocity in Dynamic Freight Markets. Transportation Research Part E: Logistics and Transportation Review, 142, 102073. Source: Elephants or Goldfish? An Empirical Analysis of Carrier Reciprocity in Dynamic Freight Markets (opens in a new tab)
  4. 04Zsidisin, G. A., Voss, M. D. & Schlosser, M. (2007). “Shipper-Carrier Relationships and their Effect on Carrier Performance.” Transportation Journal, 46(2), 5–18. DOI 10.5325/transportationj.46.2.0005. Source: Shipper-Carrier Relationships and their Effect on Carrier Performance (opens in a new tab)
  5. 05Schneider (2016). Retailer’s Switch to Asset-Based Provider Yields Improved Communication and Capacity Management. Customer case study; results reported by Schneider. Current source page undated. Source: Retailer’s Switch to Asset-Based Provider Yields Improved Communication and Capacity Management (opens in a new tab)
  6. 06Drewry Supply Chain Advisors. Ocean Freight Procurement and Shipper of Choice Workshop. Global retail client, 2022/23 procurement event. Ocean freight, not truckload. Source: Ocean Freight Procurement and Shipper of Choice Workshop (opens in a new tab)
  7. 07Acocella, A. (2023). MIT FreightLab research on tender acceptance by asset carriers and brokers, 2015–2021 shipment data supplied by TMC, a division of C.H. Robinson. Published summary: C.H. Robinson, December 13, 2023. Source: MIT FreightLab research on tender acceptance by asset carriers and brokers (opens in a new tab)
Further academic reading
Peer-reviewed literature reviewAcocella, A. & Caplice, C. (2023)Research on Truckload Transportation Procurement: A Review, Framework, and Future Research AgendaJournal of Business Logistics, Volume 44, pages 228–256 · Published February 6, 2023Peer-reviewed literature review · DOI 10.1111/jbl.12333 · its bibliography includes the 2019 Aemireddy/Yuan and 2022 Acocella/Caplice/Sheffi work cited aboveView original: Research on Truckload Transportation Procurement (opens in a new tab)

How can Goldmax do this for us?

Capabilities, lane evaluation and the one-lane start.

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