PJX Solutions · Retailer Edition

Week of {{ meta.runDate }}

Market

What we shop every week

Price checks per run {{ prog.perRunMath }}

per month

per year · {{ prog.weeks }} shopping weeks

SKUs tracked

unique part numbers under watch

Brands covered

across the shopped categories

Checks per market

each of the 8 markets, weekly

Catalog coverage

of {{ prog.catalogCats }} Big-4 parts categories

Categories by group

Every category gets the same 200-SKU depth

{{ g.name }} {{ g.cats }} cats · {{ g.perRun }} checks

What we deliberately leave out

Scope decisions, stated up front

Tools, shop & chemicals

Not vehicle parts. Excluded from the program entirely.

{{ prog.excluded }} commodity categories

Categories all four carry

If a category isn't stocked by all four retailers there's nothing to compare, so it's out.

The long tail

We shop the top 200 sellers per category, not the full catalog — that's where pricing decisions actually get made.

This week {{ marketLabel }} · vs week of {{ meta.prevRunDate }} Next refresh {{ meta.nextRunDate }}

Top 5 brands

Share of sampled SKUs across the shopped program

{{ b.name }} {{ b.pct }} of sampled SKUs

Deepest categories

How deep the Big-4 catalog runs — the weekly shop samples the top 200 of each

{{ t.name }} {{ t.count }} catalog SKUs

Biggest price increases

Largest moves up since last week

{{ m.brand }} · {{ m.retailer }} {{ m.was }} → {{ m.now }}

Climbing the ranks

Biggest jumps up the top-seller list

{{ m.pn }} ▲ {{ m.move }}

{{ m.subtype }} #{{ m.prev }} → #{{ m.rank }}

Falling back

Biggest drops down the top-seller list

{{ m.pn }} ▼ {{ m.move }}

{{ m.subtype }} #{{ m.prev }} → #{{ m.rank }}

⌕

{{ matrixCount }} SKUs

{{ h.label }}
{{ r.rank }}	{{ r.pn }}	{{ r.brand }}	{{ r.partType }}	{{ r.subtype }}	{{ c.txt }}	{{ p.ab }} {{ p.txt }}	{{ r.idx }}

Green price = lowest of the four on that SKU. Rank in type shows where that part sits on price among every SKU of the same subtype, per retailer. Index compares O'Reilly against the lowest competing price — negative means O'Reilly is under the market.

Where O'Reilly sits

Every SKU carried at O'Reilly and at least one competitor

Under the market {{ idx.under }}

At market (±1%) {{ idx.match }}

Over the market {{ idx.over }}

Head to head

Share of SKUs where each competitor undercuts O'Reilly

{{ v.name }} {{ v.beats }}/{{ v.n }} cheaper · avg {{ v.avg }}

{{ idx.rowCount }} rows

{{ h.label }}
{{ r.pn }}	{{ r.brand }}	{{ r.subtype }}	{{ r.oreilly }}	{{ r.rival }}	{{ r.rivalName }}	{{ r.gap }}	{{ r.badge }}

Week of {{ meta.runDate }} vs {{ meta.prevRunDate }} · {{ marketLabel }}

{{ h.label }}
{{ r.kind }}	{{ r.pn }}	{{ r.brand }}	{{ r.subtype }}	{{ r.retailer }}	{{ r.posArrow }} {{ r.posTxt }} {{ r.posWasTxt }}	{{ r.detail }}	{{ r.delta }}

⌕

{{ cov.count }} categories

{{ h.label }}
{{ r.id }}	{{ r.group }}	{{ r.partType }}	{{ r.subtype }}	{{ b }} {{ r.moreBrands }}	{{ r.skus }}

Classified per the PJX Part Classification Standard — Part Type is the bare noun, Subtype is the licensing unit, Variant is a nullable filter. Every part type carries 200 SKUs × 4 retailers = 800 listings; brand counts below sum to that 800.

Pick a SKU to inspect

Click any row on the Price Matrix to open it here.

{{ det.pn }} {{ det.brand }} Rank #{{ det.rank }} {{ det.group }} › {{ det.partType }} › {{ det.subtype }} › {{ det.variant }}

LOWEST

vs O'Reilly {{ c.gap }}

Price across all {{ meta.markets }} markets

Market	{{ rn }}
{{ m.name }}	{{ c.txt }}

Part number

Paste part numbers one per line or comma separated · up to 100 {{ qBulkCount }} / 100

Market

Retailers

Shopping {{ qMarketName }} — visiting each retailer

Include

Exclude

{{ qShown }} of {{ qTotal }} rows

{{ h.label }}
{{ r.retailer }}	{{ r.part }}	{{ r.desc }}	{{ r.brand }}	{{ r.price }}	{{ r.store }}	{{ r.online }}

Internal Feasibility model — not client-facing. Only hard anchor is the Ford contract at {{ econ.fordRate }}/shop for 245,369 shops. This program is {{ econ.volumeX }} that volume.

Scope

Rate per shop

what WebFetch charges us at volume

Fixed cost / yr

hosting, pipeline, support

Target margin %

Shoppable categories

cards + named subtypes

Shops per week

{{ econ.perYear }} per year

Cost to run / yr

{{ econ.shopCost }} shops + {{ econ.fixedF }} fixed

Sell at {{ econ.marginF }} margin

{{ econ.priceF }}/yr

{{ econ.monthlyF }} per month · {{ econ.profitF }} gross profit

Per category

{{ econ.perCatMo }}/mo

{{ econ.perCatYr }} per year

Cost curve by negotiated rate

Click a rate to model it. The Ford rate is what low volume costs — this program should price far below it.

This week's reports

Files reflect the week of {{ meta.runDate }}. Refreshed automatically each Monday — nothing for your team to run.