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amz-inbound-placement-optimizer

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Inbound Placement Optimizer

入库配送优化器

Amazon's Inbound Placement Service Fee, in effect since March 1, 2024, charges sellers a per-unit fee that depends on how many inbound locations they ship to. send to more locations and the fee drops, often to zero. send to one and it is highest. The wrong choice on a single shipment can cost roughly $0.30 or more per unit on standard-size items, and well over a dollar per unit on larger ones. This skill compares the split options and picks the lowest landed cost.
亚马逊入库配送服务费（自2024年3月1日起生效）向卖家收取单位费用，费用高低取决于卖家发货至的入库地点数量。发货地点越多，费用越低，通常可降至零；仅发往一个地点时费用最高。对于标准尺寸商品，单次发货的错误选择可能导致每单位成本增加约0.30美元甚至更多，大件商品的单位成本增加则远超1美元。本Skill会对比各类拆分方案，选出最低落地成本的选项。

When to use this

适用场景

  • Preparing an inbound shipment and not sure which placement to choose.
  • A past shipment cost more than expected and the seller suspects placement.
  • Comparing Amazon-optimized routing vs minimal splits across recurring shipments.
  • High-volume SKU where pennies per unit add up.
  • 准备入库发货，但不确定选择哪种配送方案
  • 过往发货成本高于预期，卖家怀疑是配送方案选择导致
  • 对比 recurring shipments 中亚马逊优化路由与最小拆分方案的差异
  • 高销量SKU，每单位几分钱的成本累积起来影响重大

The framework. The Three Splits

核心框架：三种拆分方案

Amazon's Send-to-Amazon flow offers three shipment-split options. they trade the seller's own freight and labor against Amazon's placement fee, and they are named by how many inbound locations the inventory goes to. More splits, lower placement fee. Fewer splits, Amazon does the spreading and charges for it. The three splits, in Amazon's own terminology:
  1. Amazon-Optimized Shipment Splits (four or more locations). Amazon picks the destinations and the inventory goes to four+ locations. lowest placement fee, and for qualifying shipments it is free. the trade is that the seller ships to the most destinations.
  2. Partial Shipment Splits (two or three locations). Inventory goes to two or three locations. a reduced per-unit placement fee, fewer destinations to ship to.
  3. Minimal Shipment Splits (single location). The seller sends to one location and Amazon spreads the inventory across the network on the seller's behalf for the highest per-unit placement fee.
(Eligible sellers in some categories may also see managed or unified inventory options. when offered, treat the same way. weigh Amazon's fee against the freight and labor it removes.)
The right split depends on three numbers: the per-unit placement fee Amazon quotes for each option, the seller's outbound freight cost difference across the destination counts, and the speed-to-sellable implication (fewer-location splits can mean more days out of stock at the locations Amazon would have spread into).
亚马逊Send-to-Amazon流程提供三种发货拆分选项，卖家需在自身货运与人力成本和亚马逊配送费用之间进行权衡，方案名称根据库存发往的入库地点数量命名。拆分地点越多，配送费用越低；拆分地点越少，亚马逊会代为分散库存，但会收取更高费用。以下是亚马逊官方术语定义的三种拆分方案：
  1. 亚马逊优化发货拆分（4个及以上地点）：亚马逊选择目的地，库存发往4个及以上地点。配送费用最低，符合条件的发货可免费用。代价是卖家需要发货至最多的目的地。
  2. 部分发货拆分（2-3个地点）：库存发往2-3个地点。单位配送费用有所降低，卖家需要发货的目的地数量也更少。
  3. 最小发货拆分（单一地点）：卖家将库存发往一个地点，亚马逊代为将库存分散至整个网络，但会收取最高的单位配送费用。
（部分品类的合格卖家还可看到托管或统一库存选项，若提供此类选项，处理方式相同：权衡亚马逊的费用与该方案节省的货运和人力成本。）
合适的拆分方案取决于三个数值：亚马逊针对每个选项给出的单位配送费用、卖家不同目的地数量对应的 outbound freight 成本差异，以及对库存可售速度的影响（拆分地点越少，亚马逊原本会分散到的地点可能出现更多断货天数）。

Step by step

操作步骤

  1. Collect inputs. SKU(s), units per shipment, current shipping cost per unit to each option Amazon offers, and the seller's own freight rate.
  2. Pull the placement quotes. Amazon's Send-to-Amazon flow shows the per-unit placement fee for each of the three splits for this specific shipment. Use those numbers, not estimates. they vary by size tier, weight, and region.
  3. Compute total landed. For each split: (Amazon placement fee + seller's own outbound freight to that number of destinations) x units. The tradeoff runs the two costs against each other. more destinations (Amazon-Optimized) means a lower or zero placement fee but higher outbound freight, since the seller's carrier ships to more places with less consolidation. one destination (Minimal) means the cheapest outbound freight but the highest placement fee. Compare total dollars per shipment, not per unit, because outbound freight per unit changes with the destination count.
  4. Factor speed. With Minimal, Amazon receives at one location and then redistributes across the network, so full in-stock can lag. shipping the inventory directly to more locations can get it sellable across the network sooner. For a fast-moving SKU, days out of stock at the locations you did not seed has a sales cost.
  5. Pick the lowest landed. Amazon-Optimized often wins because the placement fee it removes (frequently down to zero) outweighs the extra outbound freight, especially for light, low-cube units. Minimal can win when the seller's outbound freight to multiple destinations is expensive relative to the placement fee, for example heavy or bulky SKUs. Partial is the middle ground. run the numbers, do not assume.
  6. Repeat across the shipment plan. Decision per shipment, not a fixed policy.
  7. Run the quality check, then deliver.
  1. 收集输入信息：SKU、每批发货数量、亚马逊提供的各选项当前单位发货成本，以及卖家自身的货运费率。
  2. 获取配送报价：亚马逊Send-to-Amazon流程会显示该批发货三种拆分方案对应的单位配送费用。使用这些实际数值，而非估算值，因为费用会因尺寸等级、重量和地区而异。
  3. 计算总落地成本：针对每种拆分方案：（亚马逊配送费用 + 卖家对应目的地数量的 outbound freight 成本）× 数量。需权衡两种成本：目的地越多（亚马逊优化方案）意味着配送费用更低或为零，但 outbound freight 成本更高，因为卖家的承运商需要发货至更多地点，整合度更低；单一目的地（最小拆分方案）意味着 outbound freight 成本最低，但配送费用最高。对比每批发货的总成本，而非单位成本，因为单位 outbound freight 成本会随目的地数量变化。
  4. 考虑速度因素：选择最小拆分方案时，亚马逊在一个地点接收库存后再分发至整个网络，因此全面补货可能会延迟。直接发货至更多地点可让库存更快在全网络变为可售状态。对于快销SKU，未提前补货的地点出现断货的天数会带来销售损失。
  5. 选择最低落地成本方案：亚马逊优化方案通常更优，因为它节省的配送费用（常降至零）超过额外的 outbound freight 成本，尤其是针对轻便、低体积的商品。当卖家发往多个目的地的 outbound freight 成本远高于配送费用时（例如重型或 bulky SKU），最小拆分方案可能更优。部分拆分方案是中间选项。务必计算实际数值，不要主观假设。
  6. 针对每个发货计划重复操作：每个发货计划单独决策，而非采用固定政策。
  7. 执行质量检查，然后输出结果

Output format

输出格式

undefined
undefined

Inbound Placement Decision. [shipment ID]

入库配送决策. [shipment ID]

Units: [N] SKU(s): [list]
Units: [N] SKU(s): [list]

Splits compared

对比的拆分方案

  1. Amazon-Optimized (4+ locations). Placement fee/unit: [$]. Outbound freight/unit: [$]. Total: [$]
  2. Partial (2-3 locations). ...
  3. Minimal (single location). ...
  1. Amazon-Optimized (4+ locations). Placement fee/unit: [$]. Outbound freight/unit: [$]. Total: [$]
  2. Partial (2-3 locations). ...
  3. Minimal (single location). ...

Winner: [option]

最优方案: [option]

[reasoning + dollar comparison]
[理由 + 金额对比]

Speed implication

速度影响

[days to in-stock per option, sales-cost estimate if relevant]
undefined
[各方案的补货天数，如有相关则估算销售损失]
undefined

Worked example

实操示例

A 1,000-unit shipment of a small standard SKU, all numbers pulled from the seller's own Send-to-Amazon quote and carrier rates. Amazon-Optimized (4+ locations): $0.00 placement (qualifies for free), but $0.22 outbound freight because the carrier ships to four destinations = $0.22 total = $220. Partial (2-3 locations): $0.16 placement, $0.13 outbound = $0.29 total = $290. Minimal (single location): $0.30 placement, $0.08 outbound (one cheap destination) = $0.38 total = $380. The placement fee Amazon removes on the Optimized split more than covers the extra outbound freight, so Amazon-Optimized wins by $70 over partial and $160 over minimal. Speed: shipping directly to four locations seeds the network, roughly 4 days to broad in-stock, versus partial 6 days and minimal 9 days while Amazon redistributes from the one location. for a 20-units-a-day SKU, the 5-day gap between optimized and minimal also costs roughly 100 units of lost sales. optimized wins on both axes here. for a heavy or bulky SKU where shipping to four destinations is expensive, the outbound freight can flip the result toward partial or minimal. always run the SKU's real numbers.
一批1000件小型标准SKU的发货，所有数值均来自卖家自身的Send-to-Amazon报价和承运商费率。亚马逊优化方案（4个及以上地点）：配送费用为0.00美元（符合免费条件），但 outbound freight 成本为0.22美元（因承运商需发往4个目的地）= 总成本0.22美元 = 总计220美元。部分拆分方案（2-3个地点）：配送费用0.16美元，outbound freight 成本0.13美元 = 总成本0.29美元 = 总计290美元。最小拆分方案（单一地点）：配送费用0.30美元，outbound freight 成本0.08美元（仅一个低成本目的地）= 总成本0.38美元 = 总计380美元。亚马逊优化方案节省的配送费用完全覆盖了额外的 outbound freight 成本，因此该方案比部分拆分方案节省70美元，比最小拆分方案节省160美元。速度方面：直接发往4个地点可快速覆盖网络，大约4天即可全面补货，而部分拆分方案需6天，最小拆分方案因亚马逊从单一地点分发库存需9天。对于日均销量20件的SKU，优化方案与最小拆分方案之间的5天差距还会导致约100件的销售损失。因此该场景下优化方案在成本和速度两方面均占优。对于重型或 bulky SKU，发往4个目的地的 outbound freight 成本可能很高，此时结果可能偏向部分拆分或最小拆分方案。务必使用SKU的实际数值计算。

Quality check

质量检查

  • All three splits are quoted from Amazon's Send-to-Amazon flow, not estimated.
  • Total landed is computed per split, adding the seller's outbound freight to the placement fee, with the tradeoff (lower placement vs higher outbound at more destinations) made explicit.
  • Speed to in-stock is factored, especially for fast-moving SKUs.
  • The decision is per shipment, not a fixed policy.
  • The math is dollars per shipment, not per unit (because outbound freight scales with the destination count).
  • 三种拆分方案的报价均来自亚马逊Send-to-Amazon流程，而非估算值
  • 针对每种拆分方案计算总落地成本，将卖家的 outbound freight 成本与配送费用相加，明确体现“拆分地点越多，配送费用越低但 outbound freight 成本越高”的权衡关系
  • 考虑了库存可售速度，尤其是针对快销SKU
  • 每个发货计划单独决策，而非采用固定政策
  • 按每批发货的总金额计算，而非单位金额（因为 outbound freight 成本随目的地数量变化）

Common mistakes

常见错误

  • Defaulting to Minimal Shipment Splits. Sellers pick the single-location option for convenience and pay the highest placement fee per unit, often more than the outbound freight they saved.
  • Ignoring outbound freight. Amazon-Optimized cuts or zeroes the placement fee but adds outbound freight, because the carrier now ships to four+ destinations. netting the two is the whole exercise. comparing placement fees alone is wrong.
  • One-off thinking. Picking once and applying to every shipment. each shipment gets its own quote, and the quote varies by size, weight, and region.
  • Forgetting speed. Minimal can stockout a fast SKU while Amazon redistributes from one location, costing more in lost sales than the freight it saved.
  • 默认选择最小发货拆分方案：卖家为图方便选择单一地点选项，支付最高的单位配送费用，通常超过节省的 outbound freight 成本
  • 忽略 outbound freight 成本：亚马逊优化方案降低或免除了配送费用，但增加了 outbound freight 成本，因为承运商现在需要发往4个及以上地点。核心是权衡这两项成本，仅对比配送费用是错误的
  • 一刀切决策：选择一次方案后就应用于所有发货计划。每个发货计划都有独立报价，且报价会因尺寸、重量和地区而异
  • 忽略速度因素：最小拆分方案可能导致快销SKU在亚马逊分发库存期间出现断货，销售损失超过节省的货运成本

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Part of Amazon Pro Skills. Production-grade skills for serious Amazon sellers. Free and open. Built by Jay Margaliot.
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