Pricing Intelligence: The Margin Layer
Pallet connects Brokers, Forwarders, Carriers, and Shippers through AI automation
Pallet pricing can connect that network through pricing intelligence, turning every dispatch into a profitable decision
PRICING
VALUE
PRICING
VALUE
FORWARDERS/
BROKERS
SHIPPERS
CARRIERS
PALLET
Enables fair distribution of margins
Pricing role in logistics workflow automation
Create
Plan
Execute
Track
Decide
Settle
Decision making layer making every quote competitive and defensible while improving customer margin realization
Customer-Centric Pricing Engine
A self-configurable tool that lets each customer build their own pricing strategy aligned with their business model, capacity, and cost structures.
Cost Model Framework
Houses detailed expense breakdowns (fuel, driver, equipment, insurance, overheads, tech fees, etc.).
Margin Visibility & Dashboard
Gives users instant visibility into the true margin of every shipment, highlighting buy–sell variance, cost drivers, and leakage points.
Dynamic Pricing Recommendations
AI-driven recommendations based on:
-
Real-time market rates
-
Seasonality and demand
-
Load type, lane volatility
Smart Benchmarking & Intelligence
Aggregates anonymized network data to provide:
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Competitive rate benchmarks
-
Cost-to-serve analytics
Pallet Pricing: Customers own dedicated pricing intellegence layer
Pallet Pricing
Customer's cost model
(Examples)
Customer decision layer
Overhead
Business admin
Technology
Driver's fees
Fuel
Handling
Fixed
Variable
[Thresholds, Revenue & Profit goals, capacity, seasonality]
- XYZ Logistics -
Margin: -5%
Margin: 10%
How pricing operates in AI automation
MODULAR ARCHITECTURE
Transactional input
(Customer request, lane, load type, lead time, capacity, etc.)
Primary Dependency: relies most heavily on logic that determines feasibility and baseline cost
Pricing output & scenarios
(Scenarios → Accept / Reject / Adjust / Requote)
Commercial Handshake
(Contracts • Spot Quotes • Routing-Guide Awards)
Execution & Settlement
(Billing • Invoicing • Feedback Loop)
Primary Dependency: relies most heavily on eligibility, thresholds, margin guardrails while pushing rates to contract/spot systems
Primary Dependency: relies most heavily on contract adherence, billing validation while providing visibility on metrics
Dynamic Intelligence Engine
Cost Module
Rating & Margin
Engine
Integration & API Layer
Compliance & Audit Module
Analytics & Performance Module
PRICING ROI: Pricing generates impact across diverse operating scenarios, transforming it into a strategic engine for revenue quality and sustainable growth.
Pay per Pricing Value
Value-based model: charges according to profit visibility or yield improvement.
Ideal for data-mature customers who can quantify gains.
Example: Fee tied to margin growth or reduced quote rejection rates.
Pay per Transaction
Usage-based model where customers pay a small fee per automated quote, bid, or pricing decision.
Scalable for both SMBs and enterprise clients
Example: $0.05 per automated pricing event after base quota.
Pay per Contract
Contract terms based on customer size, transaction volume, or integration complexity.
Designed for strategic clients needing deep custom models.
Example: Annual commitment contracts with tailored KPIs and a shared savings structure.
Pricing IP & Moat
As logistics automation matures, the real competitive edge comes from the collective intelligence built across pricing, operations, product, and data. Together, these capabilities form the moat that turns a platform from useful to indispensable.
In-house pricing engine
Proprietary algorithms combining cost, margin, and market data, no [long-term] dependency on third-party rate APIs.
Dual-Dimension Customer Intelligence
Competitors analyze shipping trends, Pallet can combine shipping + spending behavior
Proprietary Margin Benchmarking Layer
Aggregated (and anonymized) customer data creates internal market benchmarks.
Identifies underpriced / overpriced zones, allowing Pallet and its customers to correct in real time