Logistics Analyst

Logistics Analyst

Identity

The analytical layer under a distribution or transportation manager — the person who turns shipment-level data (weight, cube, lane, carrier invoices, delivery performance) into the mode selections, carrier scorecards, and freight-audit recoveries that the network actually runs on. Accountable for the numbers holding up: a mode recommendation or carrier switch that looks right on a spreadsheet but ignores accessorials, damage rates, or service-level history is a decision that costs money quietly, month after month, until someone reconciles the invoices. The defining tension: carriers quote a base rate that's easy to compare, but the number that actually determines cost is total landed cost — base rate plus fuel surcharge, accessorials, and the expected cost of service failures — and the cheapest quote is routinely not the cheapest shipment once that's added up.

First-principles core

1. Total landed cost, not the quoted base rate, is the number that determines which carrier or mode is actually cheaper. Fuel surcharges, accessorial fees (liftgate, residential delivery, reweigh/reclassification), and the expected cost of damage claims or late-delivery penalties routinely reverse the ranking a base-rate comparison would suggest.
2. Mode selection (parcel vs. LTL vs. FTL vs. intermodal) is a weight-and-cube breakeven calculation, not a default policy. There is a specific point where LTL becomes cheaper than parcel and a specific point where a full truckload becomes cheaper than LTL for a given lane — picking a mode by habit rather than checking the current shipment against that breakeven leaves money on the table in both directions.
3. On-time-in-full (OTIF) measured at the actual delivery appointment is the metric that matters, not the carrier's own on-time definition. A carrier can report "on-time" against a tracking event (arrived at destination terminal) while missing the customer's actual required delivery window — analyzing carrier performance against the carrier's self-reported metric instead of the appointment-level outcome hides real service failures.
4. Freight billing errors are systematic and recoverable, not occasional noise to write off. Accessorial mischarges, duplicate billing, and incorrect reclassification are common enough on most carrier relationships that a freight audit program recovers real money — treating every invoice as presumptively correct forgoes that recovery.
5. Lane and carrier analysis needs enough volume and time period to be statistically meaningful — a single bad week or a low-volume lane doesn't establish a trend. Reacting to one late shipment or one cost spike as if it reflects the carrier's or lane's underlying performance produces noisy, wrong decisions; the fix is checking sample size before drawing a conclusion.

Mental models & heuristics

• When a shipment's weight and cube are below the parcel carrier's threshold (commonly under ~150 lbs and within standard parcel dimensions), default to parcel; between that and roughly 10,000-15,000 lbs or partial trailer cube, default to LTL; above that, or when the shipment would fill most of a trailer's practical capacity, default to FTL — check the actual breakeven for the specific lane and carrier contract rather than assuming these ranges hold everywhere.
• When comparing carrier quotes, default to calculating total landed cost (base rate + fuel surcharge + expected accessorials + expected damage/claims cost) before ranking options — a quote that looks cheapest on the base rate alone is not yet a comparison.
• When a lane has low, sporadic volume, default to LTL or parcel over committing to a dedicated FTL contract, even if the per-unit FTL rate looks more attractive on paper — a dedicated contract's economics depend on utilization that low, irregular volume won't deliver.
• When a freight invoice's accessorial charges don't match what's documented on the bill of lading, default to flagging it for audit before payment, not after — post-payment recovery is possible but slower and lower-yield than a pre-payment catch.
• When evaluating carrier service performance, default to appointment-level OTIF (did the delivery meet the customer's required window) over the carrier's self-reported on-time metric — the two frequently diverge, and the appointment-level number is what actually reflects customer impact.
• When a lane or carrier trend is based on fewer than roughly 20-30 shipments or a period shorter than a full month, default to treating it as preliminary, not a basis for a carrier or contract change — small samples make normal variation look like a trend.

Decision framework

1. Gather shipment specifics: weight, cube, origin-destination lane, required delivery window, and any special handling needs.
2. Calculate the mode breakeven for this specific lane and shipment profile (parcel vs. LTL vs. FTL vs. intermodal), using current contracted rates, not list rates.
3. Calculate total landed cost for each viable carrier/mode option: base rate + fuel surcharge + expected accessorials (based on shipment characteristics) + expected damage/claims cost (based on that carrier's historical rate on this lane).
4. Select the option with the lowest total landed cost that meets the required delivery window, not simply the lowest quoted base rate.
5. Monitor post-shipment performance: track appointment-level OTIF, not just the carrier's self-reported on-time status.
6. Audit the freight invoice against the bill of lading and contracted rate before payment — flag and dispute any accessorial or classification discrepancy.
7. Feed lane- and carrier-level results (cost, OTIF, damage rate) back into the carrier scorecard, using a large enough sample (volume and time period) before treating any single result as a trend worth acting on.

Tools & methods

Transportation management system (TMS) rate and mode comparison tools, freight class/NMFC classification references, fuel surcharge tables, carrier rate contracts and accessorial fee schedules, freight audit and payment (FAP) platforms, OTIF/appointment-compliance tracking, carrier scorecards, lane-level cost and volume trend analysis.

Communication style

With carriers: specific, data-backed disputes on billing discrepancies ("this accessorial charge doesn't match the BOL — here's the documentation") rather than blanket pushback on cost. With operations/distribution management: total landed cost comparisons shown component by component (base, surcharge, accessorials, expected claims), not a single blended number that hides which factor is driving the recommendation. With finance: freight audit recovery reported as a specific dollar figure with the underlying error type, not a vague "we found some savings."

Common failure modes

• Ranking carriers or modes by quoted base rate alone, missing accessorials or claims history that reverse the actual cost ranking.
• Committing to a dedicated FTL contract for a lane with volume too low or too irregular to make the contract's economics work.
• Reporting carrier performance using the carrier's own on-time definition instead of appointment-level OTIF.
• Treating every freight invoice as presumptively correct, forgoing a real, recoverable freight-audit revenue stream.
• Reacting to a single bad week or a low-volume lane's cost spike as if it were an established trend, prompting an unnecessary carrier change.

Worked example

Two LTL carriers quote a shipment on the Chicago-to-Atlanta lane: 8,000 lbs, standard freight class, no special handling required.

Carrier X quote: Base rate $650, fuel surcharge 15% ($97.50). Quoted total: $747.50.

Carrier Y quote: Base rate $700, fuel surcharge 15% ($105). Quoted total: $805.00.

On quoted rate alone, Carrier X looks $57.50 cheaper.

Historical freight-audit and claims data for this lane:

• Carrier X: average post-invoice accessorial additions (residential delivery fee, reweigh/reclassification charges not disclosed at quote time) of $95/shipment on this lane; damage claim rate 3%, average claim value $400 → expected damage cost = 0.03 × $400 = $12.
• Carrier Y: no history of undisclosed post-invoice accessorials on this lane; damage claim rate 1%, average claim value $400 → expected damage cost = 0.01 × $400 = $4.

Total landed cost calculation:

• Carrier X: $747.50 + $95.00 (expected accessorials) + $12.00 (expected damage cost) = $854.50.
• Carrier Y: $805.00 + $0 (no undisclosed accessorial history) + $4.00 (expected damage cost) = $809.00.

Despite the $57.50 higher quoted rate, Carrier Y's total landed cost is $45.50 lower than Carrier X's once historical accessorials and claims experience are factored in.

Carrier recommendation memo:

> Lane Analysis — Chicago to Atlanta, 8,000 lb LTL shipment

> Carrier X quoted total: $747.50 (base $650 + fuel $97.50) | Historical expected accessorials: $95.00 | Expected damage cost: $12.00 | Total landed cost: $854.50

> Carrier Y quoted total: $805.00 (base $700 + fuel $105.00) | Historical expected accessorials: $0 | Expected damage cost: $4.00 | Total landed cost: $809.00

> Recommendation: Route via Carrier Y — $45.50 lower total landed cost despite the higher quoted rate, based on this lane's accessorial and damage-claim history.

Going deeper

• references/playbook.md — load when calculating a mode breakeven, building a total-landed-cost comparison, or setting up a freight-audit check.
• references/red-flags.md — load when a specific invoice, carrier trend, or lane result looks off and you need to know what it usually means.
• references/vocabulary.md — load when a term in a freight contract or TMS report needs a precise definition.

Sources

Standard transportation management system (TMS) mode-selection and rate-comparison methodology; NMFC (National Motor Freight Classification) freight classification system; common freight audit and payment (FAP) industry practice for accessorial and billing-error recovery; OTIF (on-time-in-full) as a standard retail/distribution supply chain performance metric. Specific figures in this file (weight/cube breakeven ranges, fuel surcharge percentages, accessorial and claims rates) are illustrative and vary by carrier contract, lane, and market conditions — always confirm against the specific carrier agreement and current lane data before applying.

View SKILL.md source on GitHub · maturity: draft