A sex toy distributor's first order has two competing jobs. It must cover enough customer needs to make the range useful, and it must hold enough units of selected products to support real sales and replenishment. Too much breadth creates a catalog with one shallow option everywhere. Too much depth puts cash into a few products before the distributor knows which downstream accounts will reorder them.
The solution is not a universal SKU count or a fixed percentage. Give every SKU a commercial job, then allocate units according to customer coverage, supply constraints and the cost of being out of stock.
Breadth and depth mean different risks
Breadth is the number of product categories or distinct buying needs covered. For a sex toy distributor, this could include women's toys, men's toys, couples products, lubricants and other essentials. Within a category, breadth also means different functions or form factors that solve different customer questions.
Depth is the amount of stock held behind a selected SKU or a small group of similar options. More depth can support reliable availability and faster downstream replenishment. It also concentrates cash and inventory risk.
General retail assortment planning treats breadth and depth as a tradeoff under limited shelf, inventory and financial resources. Shopify's guide to assortment planning is a useful overview. Our earlier sex toy assortment planning guide shows how this thinking changes across retail, ecommerce and distribution. For a distributor, the final decision also has to include MOQ, carton quantity, lead time, freight and the type of accounts being served.
Begin with downstream customer jobs
Do not begin by trying to represent every page of a supplier catalog. Begin with the accounts you expect to supply.
Imagine three downstream buyers:
- A specialist retailer needs a credible range across several functions and price positions.
- An ecommerce seller needs products with complete data, clear media and distinct search intent.
- A smaller reseller needs accessible order quantities and products that are easy to explain.
The distributor does not need one SKU for every possible preference. It needs enough clearly different options to serve the main jobs these accounts bring.
Create a simple coverage map with four columns:
- Customer type.
- Buying problem or use case.
- Product category or function that answers it.
- Price position required by that account.
Only after the map is clear should specific SKUs enter the order.
Give each SKU one of three roles
Every SKU in a first order should be marked as core, coverage or test.
Core SKU
A core SKU addresses a frequent downstream need and has the strongest evidence available. It may have confirmed customer interest, relevant past sales, repeated inquiries or a close match to the distributor's main account base. Core does not mean guaranteed bestseller. It means the strongest current case for deeper availability.
Coverage SKU
A coverage SKU fills a necessary gap in function, form factor, price or customer type. Its job is to make the assortment commercially usable. It may receive fewer units because the purpose is range completeness rather than immediate depth.
Test SKU
A test SKU answers a new question. It should be visible and available in enough units to produce a fair signal, but it should not receive the same depth as a proven core item without evidence.
This role system is more useful than treating every SKU equally. Equal unit counts can look tidy on a spreadsheet while ignoring how the products will actually sell.
Add supply constraints before allocating the budget
A planned assortment can change when real supply data is added. Confirm these points for each candidate:
- Product MOQ.
- Color or variant MOQ.
- Carton quantity.
- Sample and production lead time.
- Packaging condition and any separate packaging MOQ.
- Unit dimensions and carton volume.
- Verified product data and media availability.
For example, a compact product and a large wand may use similar purchase value per unit but create very different carton volume and freight effects. A product may also have a manageable product MOQ while custom packaging has a higher separate MOQ. The distributor has to model the actual order conditions, not only the unit price. Use the same inputs described in our landed cost guide for a trial order before comparing SKU depth.
Use an allocation worksheet, not a fixed ratio
For each SKU, record the following variables:
- Role: core, coverage or test.
- Accounts served: how many current or target account types need it.
- Evidence strength: confirmed order, repeated inquiry, comparable sales or hypothesis.
- Replenishment exposure: what happens if it sells out before the next shipment.
- Supply constraint: MOQ, carton quantity and lead time.
- Cash and space requirement: purchase value plus estimated landed cost and storage volume.
Then allocate deeper stock where all four conditions are true: the SKU serves an important customer job, the evidence is stronger, the reorder lead time creates a real stockout risk, and the cash commitment remains acceptable.
Keep shallower stock where the product is mainly covering a range gap or testing a new assumption. The purpose is not to minimize every quantity. It is to avoid pretending that all uncertainty has disappeared.
A practical illustrative example
Suppose a distributor has identified six buying jobs across its account base. Three candidate SKUs cover the most frequent jobs. Two additional SKUs cover important gaps in price or function. One final SKU tests a new form factor requested by a small number of accounts.
The first three may receive greater depth because losing availability would affect several customers. The two coverage products may enter at the lowest commercially workable quantity. The test product may also enter at a controlled quantity, provided it receives enough visibility to learn something.
This example is a decision pattern, not a recommended unit count. Real quantities must be calculated from the confirmed MOQ, carton configuration, order value, freight, storage capacity and expected replenishment time.
Do not mistake exposure for demand
A SKU that appears on the home page, receives better photography or is offered first by the sales team will often look stronger. Before promoting a test SKU to core status, check whether the compared products received similar opportunities.
Use a review table that records:
- Units sold by SKU.
- Number and type of accounts buying each SKU.
- Reorder interval.
- Gross contribution after landed cost.
- Stockout days.
- Product page or sales exposure.
- Questions, returns or data problems.
An item that sells steadily across several accounts and continues to perform after replenishment is a stronger core candidate than an item with one large opening order. An item that stays near the top of the distributor's sales after comparable exposure and repeated restocking may justify a larger purchase quantity and a main product role.
Review after the first replenishment decision
The first meaningful review is not a random date on the calendar. It is the point when the distributor can see which products are requested again, which products needed more explanation and which products only moved because of initial placement. A practical inventory reorder point should then reflect demand during replenishment time and the consequences of a stockout.
At that review:
- Increase depth for products with repeated demand and acceptable contribution.
- Keep coverage products that continue to help win or complete accounts, even if their unit sales are lower.
- Revise the content, price or pack condition when customer interest exists but a clear obstacle blocks purchase.
- Stop weak tests when fair exposure still produces little qualified interest.
The second order should be more concentrated than the first because it contains more evidence.
How AIYUEWEI Can Help
AIYUEWEI can help distributors turn a broad sourcing request into a workable first order map. We can organize candidate products by customer job, category, form factor, function and price position, then confirm the specifications, MOQ, carton quantity, product dimensions, available media, lead time and packaging conditions for the shortlisted models.
We can also check whether mixed SKU purchasing is feasible for the selected products and highlight where product MOQ and packaging MOQ differ. These facts are confirmed for the actual quotation. They are not assumed from a generic catalog rule.
Frequently Asked Questions
Should a new distributor carry every major sex toy category?
No. Cover the customer jobs required by the account base you actually plan to serve. A smaller assortment with clear roles is more useful than a large range with several products that answer the same question.
When should a test SKU become a core SKU?
Promote it when it shows repeat demand, acceptable contribution and performance across comparable exposure or more than one relevant account. A single opening order or a product with better placement is not enough evidence by itself.
Can AIYUEWEI recommend quantities for the first order?
We can help model the decision using the buyer's target accounts, budget, expected sales channel and confirmed product conditions. The final quantity should reflect actual MOQ, carton quantity, lead time, freight and storage rather than a universal percentage.
The next step
Send AIYUEWEI the downstream customer types you serve, your target categories and your working order budget. We can return a focused assortment comparison that separates core, coverage and test roles and lists the supply facts that must be confirmed before allocation.
