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One two-season engagement, measured

A store that grew gross-profit dollars 18.1%, and the work inside it.

A Kamloops-area retailer, measured from the shop's own records across one two-season engagement, against the same six months a year earlier.

Whole store, year over year

  • +18.1%gross-profit dollars, with gross margin within one point of the year before despite the clearance markdowns (measured)
  • +19.3%revenue across one two-season engagement (measured)
  • +41.4%off-season revenue, April and May, with gross-profit dollars up 31.6% (measured)

By pillar: cashflow, turn, margin

  • $27,925freed by clearing underperforming stock, 17.2% of owned inventory, across two clearance seasons at a 39.7% margin (measured, pre-tax)
  • +10.8%faster turn of owned inventory, year over year (measured)
  • $26,770recovered by restocking stocked-out proven sellers, at a 60.4% cohort margin (measured)
  • +4.6 ptsmargin lift on 370 repriced items, 60.1% to 64.7%, while their cost rose 7.4% against pre-season cost (measured; cohort, not the store)
  • $4,901profit added by repricing in one summer sprint, projected to recur at 4.4% of last year's gross profit (measured; recurrence projected)

These results overlap: cash freed, turn and restocking are views of the same sales, and the whole-store growth contains all of them. They are shown side by side, never summed.

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The situation

An owner-run specialty shop with sales concentrated in its peak seasons.

An independent, owner-run specialty shop whose sales are concentrated in its peak seasons: about 60% of its yearly sales come in its four peak months, so buying mistakes sit on the shelf for months and a stockout in season costs the most. About 30% of its owned inventory, roughly $28,900, had quietly stopped selling.

There was a second problem underneath the dead stock: proven sellers kept stocking out with long gaps before replenishment cycles. In the year before the engagement this problem cost the business an estimated $11,228 in sales the shop should have made (modelled, conservative).

Pricing was a third. Prices had been set by feel and rarely revisited, and the owner's own hesitation about raising them kept best sellers below what customers would pay, while the cost of those same items kept climbing: up 7.4% against their pre-season cost, on the items we later repriced.

Freight on the shop's largest supplier nearly doubled as a share of what it paid for stock, while another supplier was negotiated down to almost free shipping (measured). Freight costs proved to be highly variable for the client with the potential to change without warning, presenting a risk of material, unexpected cost increases that cut against margin. They are also a major opportunity: every route to lowering them is worth exploring, from renegotiating supplier terms to consolidating orders to reach free-shipping thresholds.

On the floor, merchandising and display standards had slipped through a high season. On the buying side, the shop had never used the bulk-order pricing its vendors offered on top sellers, and hadn't explored available vendor clearance incentives in depth. Orders were not mapped to item sales or payment terms: large orders landed ahead of each season and squeezed cash, and replenishment came later and smaller (observed).

Behind the numbers, the systems had gaps of their own: electronic security gaps, duplicated work across the point of sale, accounting software, paper records and email with no integration between them, and no system for recording or building inventory performance intelligence. Orders were booked straight from the previous season's sales, which recurring stockouts had already held down, so stockouts repeated and underperformers were restocked instead of new stock being tested (observed).

Card fees went unrecovered: a 1.5% credit surcharge against a 2.4% processing fee now splits the cost with the customer, recovering about $4,000 to $4,500 a year and adding only $0.86 on average to a customer's credit card purchase (measured over the summer, annualized).

The clearance sat inside real store growth: across one two-season engagement, revenue rose 19.3% and gross-profit dollars 18.1% year over year, margin held within one point of the year before, with one of the six months spent under a provincial state of emergency due to nearby wildfires. The growth was earned despite that month.

Measured results

Per pillar, from the shop's own records.

PillarMeasured result
CashflowClearing underperforming stock, 17.2% of owned inventory, freed $27,925 across two clearance seasons at a 39.7% margin ($12,162 off-season plus $15,763 summer), while the store's margin held within one point of the year before (measured, pre-tax). Extended purchase terms were explored with every vendor, resulting in multiple term extensions and new terms set with new vendors. One extended its terms by 50% in return for larger orders matched to the shop's cash flow (observed).
Turn10.8% faster turn of owned inventory, year over year, across one two-season engagement (measured). One lever behind it was keeping proven sellers in stock: restocking stocked-out inventory recovered $26,770 across two seasons at a 60.4% cohort margin.
MarginPrices on the 370 repriced items rose 22.3% on average, weighted by units sold. Repriced items earned 16.3% more gross profit than a year earlier while selling 2.2% fewer units. The cohort lifted its realized, sold-through margin 60.1% to 64.7% while its cost rose 7.4% against pre-season cost, adding $4,901 of profit in one summer sprint, a lift projected to recur at 4.4% of last year's gross profit (cohort margin, never the store's).
TechnologySecurity gaps were closed first, the point of sale, accounting and email were integrated to end duplicated work, and an AI system with access to them now puts better data in front of operational and strategic decisions (delivered; not measured in dollars). For owners who want their own system, we also build and implement a custom Claude-based AI operating system you own, and teach your team to run it; the AI for Owners page shows how.

How we know it was us

The comparison is honest, and the down months are on the record.

The comparison is the same season, year over year, against a flat-to-declining three-year baseline, so the lift is not a pre-existing trend. Clearing dead stock at a markdown dilutes the blended rate, which is why we report gross-profit dollars, not a margin rate. Even so, with 17.2% of owned inventory cleared over six months, the store's margin held within one point of the year before (measured). And where a month ran against us, we say so: June revenue fell 26.1% during the wildfire emergency, and the engagement still finished ahead.

Find out what your shelves are hiding.

A complimentary call. No pitch deck. We share what our research is finding in shops like yours, and you will leave knowing where to look first, whether or not we end up working together.

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Treeline Consulting is a strategy consulting practice based in Kamloops, British Columbia, working with independent retail and service owners across BC and the Alberta Rockies. Founded by Justin Terwiel, it pairs AI-powered analysis of an anonymized set of a business's own records with fourteen years of operator experience, reading the numbers alongside the floor across four areas of performance: cashflow, inventory turn, margin, and technology. The owner gets a ranked plan, built and executed together, not a report. In one two-season engagement, a Kamloops-area retailer grew gross-profit dollars 18.1% over six months; Treeline freed $27,925 of trapped cash and repriced its best sellers for lasting margin along the way.