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Where to get help with assortment decisions

Why this matters

An operator with eleven stores knows their snack set is wrong. Some items have not sold in months, the good sellers run out by Thursday, and the planogram came from a distributor two years ago and has been modified by whoever was stocking that week. They know they need help. What they do not know is that "help with assortment" describes at least six different services, sold by parties with materially different interests, at prices ranging from free to six figures.

The free options are free because someone else is paying for them, and what that someone wants is usually more of their own product on your shelf. That is not a scandal, it is a business model, and it can still be the right choice. But it needs to be a decision rather than a default.

This page maps who provides assortment help, what each is genuinely good at, what it costs, and whose interest it represents. It is written for the operator or small-chain buyer deciding where to spend a limited budget, and it names categories of provider with examples rather than making recommendations.

The methodology

Step 1: identify which problem you actually have

"Assortment is wrong" covers four distinct problems, and the right help differs for each.

ProblemSymptomWhat it needs
Too many itemsSlow movers, tied-up cash, clutterRationalisation
Wrong itemsCategory underperforms its potentialCategory assessment
Right items, wrong spaceBest sellers out of stock by ThursdaySpace allocation
Right items, wrong placementItems sell where they are notPlanogram and adjacency

The second and third get confused constantly, and the failure mode is expensive: an operator who buys a category assessment when they had a space allocation problem gets a report recommending items they already carry.

Step 2: understand who each source represents

This is the part nobody says out loud, so here it is plainly.

Distributor category managers. Usually free, included with your supply agreement. Genuinely knowledgeable, often the best practical merchandising advice available to a small operator, and structurally biased toward items the distributor carries. A recommendation to drop a DSD item in favour of a warehouse-delivered equivalent may be right, and it is also worth more to them than to you.

Brokers and manufacturer reps. Free, and paid by the brands they represent. Excellent on their own categories and their own items. A broker running a category review will produce a set that is good for the category and better for their principals, and the honest ones will tell you so.

The category captain. A manufacturer formally invited to advise on the whole category. The most sophisticated free help available, with the most obvious conflict, which is why the role comes with the strongest norms about validation. Never accept a captain's recommendation without checking it against a source they do not control.

Syndicated data providers. Paid. Circana, NielsenIQ and SPINS sell the market view, which is the one thing none of the free sources will give you neutrally. Historically priced for large manufacturers, and worth asking about channel-specific or regional products if a full subscription is out of reach.

Trade associations. NACS publishes category management material and industry benchmarks aimed at convenience specifically, including the State of the Industry data this site cites throughout. Membership-priced, and the most neutral source in this list because they sell to operators rather than to brands.

Independent consultants. Paid, no product to sell, quality varies enormously. The right choice when the problem is genuinely strategic or when you need a recommendation you can defend to a board. Ask for references from operators of your size, not from the biggest logo on their site.

Space planning software. Paid, tool rather than advice. Only worth it once you have someone to operate it, which is the step most small operators skip.

Step 3: match the source to the problem

ProblemBest free optionBest paid option
RationalisationDistributor category managerIndependent consultant
Category assessmentCategory captain, validatedSyndicated data
Space allocationDistributor planogramSpace planning software
Placement, adjacencyBroker or distributorConsultant with the tool

Rationalisation is the one to start with in almost every case, because it is the cheapest to act on and the fastest to show a result. Removing eleven items that have not sold in ninety days requires no new data, no negotiation and no shelf rebuild, and it frees the cash and space that every other improvement needs. The SKU rationalization method covers how to choose them.

Step 4: validate free advice against something the adviser does not control

One rule makes all the free sources safe to use: never act on a recommendation without checking it against a source with a different incentive.

That check does not have to be expensive. Your own movement data is the cheapest validator you have, and it settles most questions. If a captain recommends expanding their segment by four facings, check what the segment's units per facing actually are in your stores against the categories those facings would come from. The recommendation survives or it does not, and you have spent an hour.

Where your own data cannot answer the question, which is anything about the market outside your stores, that is precisely where the paid sources earn their price. Knowing which questions those are is most of the budgeting problem.

Worked example

The eleven-store operator from the opening, working the sequence.

StepSource usedCostResult
RationalisationOwn movement datanone34 items cut, 9% of the set
ValidationDistributor category managernone6 of the 34 defended, kept
Space allocationDistributor planogram servicenoneReset for the reduced set
Category assessmentSyndicated data, one categorypaid, scopedTwo segment gaps identified
PlacementBroker, validated internallynone3 of 5 suggestions adopted
RationalisationOwn movement datafreeValidationDistributor category managerfreeSpace allocationDistributor planogramfreeCategory assessmentSyndicated data, one categorypaid, scopedPlacementBroker, validated internallyfree
One paid step out of five. Own data first, scoped syndicated data only where it was the sole answer

Three things about that sequence are worth copying.

Own data came first and cost nothing. Twenty-eight items were cut on evidence the operator already held. No adviser was needed to find items that had not moved in ninety days.

The distributor defended six of the thirty-four, and was right about them. Those six were seasonal or newly introduced, and the operator's ninety-day window had misjudged them. That is exactly the value free expert help provides, and it surfaced because the operator brought a specific list rather than an open question.

Paid data was scoped to one category. Not a full subscription. The operator bought the market view for the single category where their own data could not answer the question, which is how a small operator uses syndicated data at all.

The broker's suggestions running three-for-five is a normal and healthy ratio. The two rejected were both expansions of the broker's own principal into space that the operator's data said was already working harder elsewhere.

What assortment help costs, and how to buy the smallest useful piece

Budget is the constraint that decides this for most operators, so it is worth being concrete about the shapes on offer rather than the prices, which vary enormously and date badly.

Purchase shapeCommitmentGood when
Included with supplyNone, bundledYou have a specific list to check
Single-category data pullOne-offOne category, one open question
Regional or channel dataAnnual, scopedRecurring category decisions
Full syndicated subscriptionAnnual, broadMultiple categories, a team to use it
Consultant, project-scopedWeeksA decision you must defend
Consultant, retainedOngoingNo internal category capability

The single most useful discipline for a small operator is to buy the narrowest scope that answers the actual question. A category assessment for one category is a fraction of a full subscription and answers the question that prompted the spend. Operators who buy broad because broad felt safer typically use a small fraction of what they bought, then conclude the data was not worth it.

Three questions to ask any paid provider

Ask what the data covers in convenience specifically. Channel coverage varies enormously by provider, a dataset strong in grocery may be thin in convenience, and this is the question that most often changes the purchase.

Ask what the smallest version of the product is. Every provider has one, it is rarely on the rate card, and asking costs nothing.

Then ask what you will not be able to answer with it. A good provider will tell you plainly. A provider who says the data answers everything is describing a sales position rather than a dataset, and the gap will surface later at a worse moment.

When the answer is to hire rather than to buy

Past roughly twenty stores, the arithmetic changes. The recurring cost of consultants and the recurring cost of ignoring assortment both start to exceed the cost of one person who owns the category calendar. That person does not need to be a category management specialist; they need to own the data, run the validations described above, and be the single point of contact every distributor and broker talks to.

The failure mode at this size is spreading the work across three managers who each talk to their own reps. It produces three inconsistent sets and no institutional memory of why anything was listed.

One thing worth doing before you call anyone

Write down the question in a single sentence, with a number in it. "Our snack set is wrong" is not a question anybody can price. "Which of our 380 snack items earned less than $20 of gross profit in the last 90 days" is, and you can often answer it yourself before the call.

Advisers respond to specificity, and the specific version tends to get better free help than the vague version gets paid help.

Doing this in Scout

The validation step is the one this site can speak to directly, because it is a data problem. Checking a recommendation against your own movement, per store, per category, with consistent definitions across periods, is exactly what a saved view is for. Scout connects your retailer and distributor data and keeps those checks current, so validating an adviser's proposal is an afternoon rather than a project.

The honest boundary: Scout does not do assortment consulting and does not replace any source on this page. It makes the free ones safer to use by making the validation cheap, and it tells you which questions your own data genuinely cannot answer, which is the input to deciding what to pay for.

Summary and further reading

  • "Assortment help" covers four different problems: too many items, wrong items, wrong space and wrong placement. Buying the wrong one is expensive.
  • Free help is paid for by someone with a product to sell. That does not make it bad, and it does make validation mandatory.
  • Distributors, brokers and category captains offer the most practical free expertise; syndicated data and trade associations offer the neutral market view; consultants offer independence.
  • Start with rationalisation using your own data, because it costs nothing and frees the cash and space everything else needs.
  • Validate every free recommendation against a source the adviser does not control, usually your own movement data.

Further reading: assortment optimization for the method itself, the category captain role for how that relationship should be governed, SKU rationalization for the first step above, and food trends on TikTok for the case where the signal arrives from outside your data entirely.

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