From 25 proposed products to 6 proven sellers: entering a new market with lower inventory risk

The original plan was straightforward: choose around 25 fitness and rehabilitation products from a supplier, place an opening order, display the products to existing clients, and start selling.

On paper, the investment did not look particularly large. An opening quantity of roughly eight units per product would have meant about 200 units of inventory. At an estimated average landed cost of $27 CAD per unit, the first purchase would have required approximately $5,400 CAD.

The problem was not the size of the investment by itself.

The problem was that almost none of the assumptions behind it had been tested.

The business knew its clients were interested in occupational therapy, corrective exercise, rehabilitation and movement. It did not yet know whether those same clients would buy resistance bands, skipping ropes and related training equipment from the business, which products they would prefer, or how many expressions of interest would actually turn into purchases.

Instead of using $5,400 CAD to discover the answer, we recommended testing the demand first.

The business opportunity looked logical, but the demand was still unknown

The business already had access to a relevant customer base through its core services. Adding physical products appeared to be a natural extension.

The proposed catalogue contained approximately 25 different SKUs, covering a mix of exercise and rehabilitation equipment. Typical retail prices within the proposed range were roughly $25 to $80 CAD, with an estimated average selling price close to $50 to $55 CAD.

At an average landed product cost of approximately $27 CAD, the economics also appeared reasonable. A product selling for about $52 CAD could leave roughly $25 CAD per unit before payment fees, selling expenses and fixed overhead.

The margin was not the main uncertainty.

Demand was.

If the business bought eight units of each of the 25 products, it would immediately hold around 200 units. Even if the total investment was manageable, the capital would be spread almost equally across products whose demand might be very unequal.

There was no evidence yet that a customer interested in one product would be equally interested in the other 24.

That distinction changed the way we approached the launch.

We treated the first stage as a demand test, not an inventory purchase

Rather than immediately building a retail inventory, sample products were placed where existing customers could see and interact with them.

At the same time, interest was tested through the business's online channels.

The objective was deliberately narrow. We were not trying to maximize sales during this stage. We wanted to answer three questions:

Which products attracted the most serious interest?

How often did product interest become an actual purchase?

Was demand spread across the catalogue, or concentrated in a small number of products?

Over an initial test period of approximately four weeks, the business recorded roughly 120 product-specific enquiries and requests across its physical and online customer touchpoints.

Around 30 of those requests converted into purchases.

That gave us an observed conversion rate close to 25%, or approximately one sale for every four serious product requests.

This was the first useful planning number.

Instead of saying, "We think these products will sell," the business could now estimate what 100 genuine product requests were worth.

At the observed conversion rate, roughly 100 qualified requests could produce about 25 sales.

The conversion rate was useful, but the product mix was more important

The more valuable discovery appeared when we separated the results by product.

Demand was not distributed evenly across the 25 proposed products.

Approximately 80% of serious customer interest was concentrated in only six products.

The concentration became even stronger when we looked at actual purchases. Those six products accounted for approximately 26 of the first 30 sales, or close to 85% of all confirmed purchases during the test.

The remaining 19 products produced only four purchases between them.

Several attracted occasional questions but no purchase at all.

That changed the inventory decision completely.

The original purchasing logic effectively treated 25 products as 25 reasonable opportunities. The test showed that the market was behaving more like six meaningful opportunities surrounded by a long tail of uncertain products.

Buying all 25 would not have created useful variety. It would mostly have created more places for cash to sit.

The initial inventory requirement fell from about $5,400 CAD to roughly $2,000 CAD

Under the original plan, an opening order of approximately eight units across 25 SKUs would have meant:

25 SKUs × 8 units = 200 units

At an average landed cost of about $27 CAD:

200 units × $27 CAD = approximately $5,400 CAD in opening inventory

After the market test, we recommended carrying only the six products with demonstrated demand.

Instead of ordering identical quantities, the opening purchase was weighted toward the products receiving the most requests. The first stocked order contained approximately 70 to 75 units across the six selected SKUs.

At roughly the same average landed cost, the opening inventory investment was close to $2,000 CAD.

That meant approximately $3,400 CAD less cash was committed at launch, a reduction of more than 60% compared with the original purchasing plan.

The business had not abandoned the other 19 products permanently. It had simply stopped paying to carry them before customers had demonstrated enough demand.

The test also gave the business a simple replenishment model

The observed conversion rate gave management another useful tool.

If approximately 25% of serious requests were becoming purchases, the business did not need to forecast several months of demand using intuition alone.

For example, if a particular resistance product generated around 40 serious requests, an initial expectation of roughly 10 sales was more defensible than ordering 25 units simply because the supplier offered them.

A product receiving only four or five requests would not justify the same inventory position.

This allowed purchasing quantities to follow visible customer behaviour.

The same logic applied after launch. Instead of rebuilding a broad 25-product catalogue, inventory could be replenished according to sell-through.

During the first several weeks of stocked sales, roughly three quarters of the initial six-product inventory was sold. Faster-moving products began approaching reorder levels while slower products still had sufficient stock available.

The business could therefore place subsequent supplier orders selectively rather than repeatedly purchasing the entire assortment.

Revenue mattered, but inventory velocity mattered more

At an average transaction value of approximately $52 CAD, selling 55 units would generate roughly $2,850 CAD in product revenue.

With an average landed cost near $27 CAD per unit, those units represented approximately $1,500 CAD in product cost, leaving around $1,350 CAD before other selling costs and overhead.

The retail category was still small relative to the business's core services, and that was acceptable.

The purpose of the project was not to prove that product sales could immediately become a major revenue stream. It was to establish whether the category deserved further capital.

The early evidence suggested that it did, but only in a concentrated form.

Six products had enough demonstrated demand to justify inventory.

Nineteen did not yet have the same evidence.

That was a much more useful conclusion than simply reporting that customers were "interested in fitness products."

What changed

Before the test, the business was considering approximately 25 SKUs, about 200 opening units, and close to $5,400 CAD in initial inventory investment.

After the test, the launch was concentrated around six proven products, approximately 70 to 75 opening units, and around $2,000 CAD of inventory.

The test generated roughly 120 qualified product requests, around 30 initial purchases, and an observed request-to-purchase conversion rate of approximately 25%.

Around 85% of those purchases came from six products, reducing the active opening range by approximately 75%.

Most importantly, the business avoided committing roughly $3,400 CAD of additional cash to products that had not yet demonstrated sufficient demand.

The financial benefit was not a dramatic increase in revenue.

It was a better allocation of capital.

Why the approach worked

The original plan started with the supplier catalogue.

The revised approach started with customer behaviour.

That difference matters whenever a business enters a new product category.

A supplier may offer 25 attractive products. Customers do not care how balanced the catalogue looks. They may concentrate most of their spending on five or six items.

Without testing, the business discovers that pattern after purchasing inventory.

With testing, it can discover much of the pattern before making the purchase.

In this case, approximately four weeks of demand validation turned a 25-product purchasing decision into a six-product inventory decision.

The business still entered the market. It simply entered with less capital exposed to assumptions.

The business lesson

Businesses often treat inventory as the prerequisite for testing a new product market.

It does not always need to be.

When customers can see, evaluate or request products before a large purchase is placed, demand itself can become part of the purchasing system.

The important question is not simply, "Would customers like this product?"

It is, "How many customers demonstrate enough intent to justify putting cash into stock?"

In this case, the difference between those two questions reduced the proposed catalogue from 25 products to six and lowered the initial inventory commitment by more than 60%.

The principle was simple:

Prove the demand first. Build the inventory second.

Questions for other business owners

If you are considering adding a new product category, how much of your opening order is based on observed customer behaviour and how much is based on assumption?

Are you carrying a broad range because customers genuinely demand it, or because the catalogue looks more complete?

Which 20% to 30% of your products currently generate most of your sales?

Could customer requests, samples or small-scale testing give you enough information to make the first purchasing decision with less capital?

And if you reduced your initial inventory investment by 50% or more, where else could that cash be used inside the business?

For businesses considering a new retail category, the first question may not be how much inventory to buy. It may be how cheaply and reliably the demand can be measured before the inventory exists.