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Frozen lychee is a deceptively small category that behaves like a “stress test” for procurement: short harvest windows, labor-heavy conversion, and cold-chain-dependent quality make price-only sourcing fragile. This guide translates frozen-lychee supply chain realities into practical category actions—how to write specs that suppliers can actually quote consistently, where landed cost really moves, and how to build a supplier + lane portfolio that reduces volatility and stockout risk.
(Analyzed at: Mar, 2026)
Frozen lychee is not “fresh lychee, just colder.” It is a time-compressed supply chain designed to beat lychee’s rapid post-harvest deterioration (browning, texture loss, flavor fade). The commercial reality is:
Procurement implication: The “right” supplier is the one whose capability matches your spec + lane + governance model—not the one with the lowest FOB on a single quote.
Below is an illustrative cost-and-margin decomposition. Use it as a negotiation and governance map (where to ask questions, where to audit, where to index), not as a universal truth.
Key insight: Frozen lychee cost starts with a seasonal raw fruit price spike concentrated into a short harvest window; in heavy crop years more fruit diverts to lower-value channels, but in tight years processors compete aggressively for suitable grades.
Seasonality anchor (planning reality): China’s harvesting season is concentrated within late May–early July (about 1.5 months) [1].
Key insight: This node determines the reject rate that later becomes your hidden cost (yield loss + more labor downstream).
Key insight: This is typically the highest conversion-cost step for IQF arils because it is labor-intensive and yield-sensitive.
Key insight: IQF isn’t just a format; it’s a performance promise (piece integrity, less clumping, better dosing in manufacturing). It usually costs more to produce but can reduce downstream handling loss.
Key insight: Packaging is where suppliers either protect you from claims—or create them.
Key insight: Reefer variability can erase a “good FOB” through temperature excursions, dwell time, and claim disputes.
Assumptions: Delivered cost to a North America/EU buyer; percentages vary by origin, season tightness, pack size, freight rates, and defect tolerance.
| Supply chain node | Cost ratio (% of final delivered cost) | What to watch in procurement |
|---|---|---|
| Raw fruit + aggregation | 30–40% | harvest window exposure; residue program; variety mix |
| Primary processing | 6–10% | reject rate transparency; pre-cool discipline |
| Secondary processing | 18–28% | labor throughput; seed fragment control; rework rate |
| Freezing (IQF) | 6–10% | freezer capacity utilization; piece integrity |
| Packaging & QA | 6–10% | lot coding; micro specs; packaging integrity |
| Logistics & cold storage | 12–18% | lane stability; reefer monitoring; dwell time |
| Importer/wholesale margin | 8–14% | service level, financing, compliance coverage |
| Supply chain node | Cost ratio (% of final delivered cost) | What to watch in procurement |
|---|---|---|
| Raw fruit + aggregation | 32–45% | same as above; grade flexibility can reduce cost |
| Primary processing | 6–10% | sorting standards (less strict than IQF in some cases) |
| Secondary processing | 12–20% | lower piece-integrity requirement but still FM risk |
| Freezing (block) | 4–8% | core freezing time; block size consistency |
| Packaging & QA | 5–9% | block liners; thaw/leak risk |
| Logistics & cold storage | 12–18% | pallet stability; temperature controls |
| Importer/wholesale margin | 8–14% | similar service economics |
| Supply chain node | Cost ratio (% of final delivered cost) | What to watch in procurement |
|---|---|---|
| Raw fruit + aggregation | 25–38% | ability to use lower-grade fruit can buffer shortages |
| Primary processing | 6–10% | sanitation and wash controls |
| Secondary processing (pulping/finishing) | 15–25% | particle size, brix/acid targets, oxidation control |
| Freezing | 5–9% | freeze curve for drums; uniformity |
| Packaging & QA | 7–12% | drum liners, seals, sampling plans |
| Logistics & cold storage | 12–20% | drum handling damage; warehouse capability |
| Importer/wholesale margin | 8–14% | documentation + service levels |
Because major origins have tight harvest windows (for China, concentrated late May–early July), the market is structurally forced into:
Procurement consequence: Spot buying in the “wrong month” often means you’re buying from:
In frozen lychee, price doesn’t move as a single line item. It moves as three interacting systems:
Practical takeaway: Two suppliers quoting the same FOB can produce very different true landed cost once you include:
Below is how an intelligence-driven service changes decisions—mapped to a category manager’s real workflows.
Decision shift: From “negotiate FOB” → to “negotiate the right cost drivers.”
Outcome you can measure: Reduced landed-cost volatility (variance) and fewer surprise surcharges.
Decision shift: From “lowest quote shortlist” → to “risk-adjusted shortlist.”
Benchmark suppliers on:
Outcome you can measure: Higher first-pass qualification rate (fewer failed samples / fewer re-audits).
Decision shift: From “react after shortage” → to “trigger early qualification and buffers.”
Outcome you can measure: Fewer stockouts and fewer emergency buys/premium freight events.
Frozen lychee is a clean example of a broader procurement pattern: when quality and logistics are inseparable, price-only sourcing fails.
Similar dynamics show up in:
Meta-lesson: Intelligence is most valuable where your category has:
Frozen lychee forces good procurement behavior because it makes trade-offs visible:
If a team can run frozen lychee with disciplined intelligence—supplier benchmarking, landed-cost decomposition, and trigger-based risk monitoring—the same operating model typically transfers well to other frozen fruits and cold-chain ingredients.
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