Specialty retailers leave 5-12% of gross profit on the table

Frozen prices. Supplier terms never negotiated. Products that don't earn their shelf space. The margin is in your data — ERP, POS, shelf imaging, loyalty. We find it, quantify it, and help you capture it.

Free diagnostic. No commitment.

10M+ transactions analyzed per engagement
3-lens statistical validation
Tailored to your business

Your data has the answers. Your P&L doesn't show them.

Most specialty retailers we talk to share the same story: the systems say things are fine, margins look stable. But underneath the surface, decisions are being made on incomplete data — and profit leaks compound silently.

  • 1 Prices haven't moved in over a year — while supplier costs and inflation have. Every month is a real price cut.
  • 2 Suppliers are paid on receipt with no early-payment discount and no volume rebates. Standard terms are never negotiated.
  • 3 Internal transfers distort margins by 20-30 points — a 54% gross margin category can show as 23% in standard reporting.
  • 4 Shelf space doesn't reflect performance. Fast-growing categories share the same space as declining ones. 40%+ of SKUs earn almost nothing.
  • 5 Discounting runs on autopilot. Habitual promotions erode margin without evidence they drive volume.

Structured engagement, measurable results

A repeatable process that delivers a prioritized profit lever map — then helps you execute it.

1
Week 1-2

Diagnose

We connect to your data sources — ERP, POS, inventory — ingest every transaction, and map margins by product, category, supplier, and channel.

Deliverable: Prioritized lever map with conservative and upside financial estimates
2
Week 3-4

Instrument

Your team gets access to the Counter Insight platform — pricing simulator, inventory health, supplier scorecards — configured for your data.

Deliverable: Live platform with your catalogue, pricing, and supplier data
3
Month 2+

Execute

We work alongside you to implement changes — starting with the lowest-risk, highest-impact levers. Three-lens consensus analysis validates every decision.

Deliverable: Measured results with pre/post, YoY, and expected margin validation

Five levers hiding in your data

Every engagement surfaces the same categories of opportunity. The specifics differ — the pattern doesn't.

Pricing

Your prices are probably stale

Specialty retail has natural monopoly dynamics — your customers aren't comparison-shopping on price. But most retailers still price reactively, not strategically. We model elasticity by category and simulate the impact of every price change before it hits the shelf.

In one engagement, cafe prices hadn't changed in 15 months. Moving 10 items to the next psychological price point modeled at 225K+ annual uplift — with conservative volume assumptions.
Price sensitivity by category
Low Own brand
Low Fresh
Med Specialty
Med Pantry
High Branded
Supplier terms

Walk into every negotiation with leverage

We score every supplier on margin contribution, cost trends, and concentration risk. Most specialty retailers have never formally negotiated volume rebates — and pay invoices far faster than industry norms with no discount captured.

One retailer paid suppliers in a median of 7 days — industry standard is 30. Zero rebate agreements on 52M in annual spend. Extending terms alone freed 3.3M in working capital.
Supplier margin contribution
Supplier A
High
Supplier B
High
Supplier C
Med
Supplier D
Low
Supplier E
Neg
Assortment & space

Every product should earn its shelf space

We map gross profit per shelf bay across your entire store. Fast-growing, high-margin categories often share the same space as declining ones. The goal isn't to shrink the range — specialty breadth is your moat — it's to give every item the right amount of space.

42% of SKUs earned less than 2K per year. A category growing +93% with 65% GP was getting equal shelf space to one declining -23% at 41% GP. Three stages of rebalancing identified 300-600K in annual impact.
GP per shelf bay (heatmap)
High GP Medium Low Dead
Bundling & cross-sell

Package the behavior customers already have

We analyze basket data to find natural pairings your customers are already making — then help you package them as products or promotions. We also audit existing discount mechanics to ensure bundle depth is earning its keep.

50% of cured meat buyers already bought cheese in the same basket. The charcuterie board was being assembled by customers — just never sold as a product. Separately, tightening bundle discount depth by 3 points across 2.3M in promotions modeled at 100-250K in recovered margin.
Basket co-occurrence
Cat A 9,573 Cat B 5,211 50% overlap
Data quality & visibility

Your reported margins may be wrong

Internal transfers, discount structures, and GL capture gaps distort the picture. Before you can optimize, you need to trust the numbers. We clean your data layer so every decision starts from truth — not accounting artifacts.

One category showed 23% gross margin in standard reporting. After removing internal kitchen transfers: 54%. A 31-point distortion that was hiding a healthy category — and misleading pricing decisions.
Margin before & after cleaning
23%
Reported
54%
Actual
+31pp correction from internal transfer cleanup

What a typical engagement uncovers

Real numbers from a real specialty retailer.

5-12%
Gross profit recovered
8+
Profit levers mapped and prioritized
2
Weeks to first actionable findings
See if we're a fit

Every engagement is tailored from scratch.

Not a dashboard. Not a consultancy.

We combine the depth of a consulting engagement with a platform that stays after we leave.

Counter Insight Typical BI project Management consultancy
Time to first insight 2 weeks 3-6 months 6-12 weeks
Primary output Specific actions with financial impact Dashboards Slide decks
Data depth Every transaction, every SKU Aggregated KPIs Sample-based
Ongoing measurement 3-lens validation, daily Monthly reports None after engagement
Who does the work We do — alongside your team You build it yourself Junior analysts
Ongoing access Platform available post-engagement License renewal A PDF

Common questions

If your question isn't here, just ask — we're operators, not salespeople.

What systems do you connect to?

ERPs like Uniconta, Dynamics, SAP Business One, e-conomic, and Visma. POS systems, inventory tools, loyalty platforms. The data warehouse layer abstracts the source — if it has transaction data, we can work with it.

How long before we see results?

The diagnostic takes 1-2 weeks. You'll have a prioritized lever map with financial estimates before month-end. First pricing changes can be implemented the same week they're identified.

How is our data handled?

Your data is stored in a dedicated, isolated warehouse — not shared with other clients or sent to third-party analytics platforms. We control access and can walk you through the architecture.

We already have a BI tool. How is this different?

Most BI tools give you dashboards. We give you a prioritized list of profit levers with the math done. The platform is the instrument — the engagement is the product.

Do you need access to our POS system?

Not necessarily. We typically start with ERP data — invoices, GL, inventory — but POS, loyalty, and other sources can be integrated from day one or added later as the engagement deepens.

What does it cost?

A modest fixed engagement fee to get started, then a performance bonus tied to the margin improvement we deliver. The majority of what we earn comes from results — we only win when you do.

The margin is already there. We make it visible.

We work with a small number of specialty retailers at a time. If you suspect there's more profit hiding in your data, let's talk.

Start a conversation

No pitch deck. No demo request form. Just a conversation.

Dedicated, isolated data warehouse
No lock-in
Built in Copenhagen