Data-Driven Ocean Freight Strategy Cuts Costs for Shippers
Emser Tile's chief supply chain officer presented insights at TPM26 by S&P Global on how shippers can achieve more cost-effective ocean freight arrangements through sophisticated data analysis. The company's approach involves taking a "multi-dimensional look" at contracting decisions—suggesting the integration of multiple data sources and variables such as lane economics, carrier performance metrics, seasonal demand patterns, and market conditions. This methodology represents a shift from reactive to proactive freight contracting, where data informs negotiation strategies and rate-setting decisions rather than relying on historical precedent or carrier proposals alone. For supply chain professionals, this case study underscores the strategic importance of leveraging analytics in one of the largest operational expenses—ocean freight. By systematically analyzing trade routes, carrier options, and contractual terms through a data lens, shippers can identify optimization opportunities that may not be apparent through traditional procurement methods. This approach is particularly valuable in the volatile ocean freight market, where rates and capacity fluctuate based on global economic conditions, fuel prices, and seasonal shipping patterns. The implications are significant for supply chain operations: companies that invest in data infrastructure and analytical capabilities gain a competitive advantage in contract negotiations, can better forecast freight costs for budgeting, and reduce their vulnerability to market shocks. The multi-dimensional framework suggests that successful ocean freight management now requires integration across multiple departments—supply planning, procurement, operations, and finance—to harmonize insights and make informed contracting decisions.
The Data Revolution in Ocean Freight: Why Analytics Now Determines Contract Winners
Ocean freight contracting just entered a new era—and companies ignoring data-driven approaches will feel it in their margins. Emser Tile's presentation at TPM26 by S&P Global reveals what leading shippers already know: the days of negotiating freight rates through intuition, historical precedent, or accepting carrier proposals at face value are over. The companies winning in ocean freight today are those weaponizing multi-dimensional data analysis to systematically outthink the market.
This matters now because ocean freight costs remain among the largest controllable expenses in supply chain operations, yet many shippers still contract routes using fragmented information and siloed decision-making. In a market where rates fluctuate based on fuel surcharges, seasonal demand swings, geopolitical disruptions, and carrier capacity constraints, treating contracts as one-off negotiations leaves enormous optimization opportunity on the table.
How Shippers Move From Reactive to Strategic
Emser Tile's framework—pulling together a comprehensive, multi-dimensional view of contracting decisions—represents a fundamental shift in how mature supply chain organizations approach carrier relationships and rate negotiations.
Rather than reacting to what carriers propose, this methodology asks: What does the data tell us about what we should pay? The analysis integrates multiple variables simultaneously: lane-specific economics, carrier performance benchmarks across reliability and cost, seasonal demand patterns, inventory positioning needs, and broader market conditions. None of these factors in isolation tells the complete story. Together, they create a negotiating position grounded in evidence rather than emotion or legacy relationships.
This approach acknowledges a critical reality: ocean freight markets are informationally opaque. Carriers possess real-time insights into their own capacity, fuel costs, and booking patterns that shippers don't see. By building their own data infrastructure, shippers level the playing field. They can model scenarios—"If we commit to Q3 volume, what rate can we justify?"—before entering negotiations. They can identify which lanes have competitive pressure and which allow carriers more pricing power. They can detect when a carrier's historical premium no longer reflects current service performance.
The operational payoff is substantial. Shippers who systematically analyze freight economics typically identify 5-15% savings opportunities in the first year—not through aggressive negotiation alone, but through smarter contracting structures, better lane selection, and optimized carrier mixes.
What Supply Chain Teams Should Watch For
The success of data-driven ocean freight management depends on breaking down organizational silos. Supply planning, procurement, operations, and finance teams must share insights in real time. Supply planning knows future volume forecasts and seasonal peaks. Operations tracks which carriers actually deliver on service commitments. Finance understands cash flow implications of different contracting terms. Procurement brings market intelligence and carrier relationship context. None of these functions working in isolation can build the complete picture that Emser Tile's approach demands.
This has concrete implications for how supply chain teams structure themselves:
First, invest in connectivity between forecasting systems and procurement tools. Procurement decisions should flow from validated demand signals, not historical volume patterns.
Second, establish carrier scorecards that measure total cost of ownership, not just rate per TEU. A carrier with a 3% rate premium but 98% on-time delivery and zero claims might deliver far better economics than a budget carrier with 85% reliability and recurring damage issues.
Third, shift contract structures from fixed rates to dynamic models that include volume commitments tied to rate levels. This aligns incentives and gives you leverage when markets move.
The Professionalization of Freight Procurement
What Emser Tile exemplifies reflects a broader maturation in supply chain practice. Leading companies are treating ocean freight procurement as a strategic function requiring sophisticated analytics, not a transactional activity handled by operational staff managing legacy carrier relationships.
The competitive advantage here is temporary but real. As more shippers adopt data-driven approaches, the freight market becomes more efficient—rates increasingly reflect actual supply-demand dynamics rather than information asymmetries. But in the transition period, shippers with superior data capabilities will consistently outperform their peers in contract negotiations and cost management.
For supply chain professionals, the message is direct: If you're not systematically analyzing your ocean freight decisions across multiple dimensions, your competitors who are will have lower costs and better service visibility. The time to build this capability is now, before market efficiency eliminates the advantage.
Source: Supply Chain Dive
Frequently Asked Questions
What This Means for Your Supply Chain
What if you optimize contract terms to lock in rates for 24 months instead of 12?
Analyze the trade-offs of longer-term ocean freight contracts with fixed rates. Model rate stability benefits, potential lost savings if market rates decline, and the impact on cash flow and negotiation flexibility over a 24-month period.
Run this scenarioWhat if you shift 20% of volume to alternative carriers with lower contracted rates?
Simulate the impact of diversifying carrier relationships and moving 20% of ocean freight volume to alternative carriers offering more competitive rates. Evaluate changes in total freight spend, service level consistency, and operational complexity.
Run this scenarioWhat if your primary ocean freight rates increase by 15% in the next contract cycle?
Model the impact of a 15% increase in ocean freight rates across all major shipping lanes. Recalculate landed costs for key SKUs, assess the feasibility of alternative routing options, and evaluate the financial impact on gross margin if prices cannot be passed to customers.
Run this scenario