VENDO · Muy Delicioso

Pricing help

Is this price fair? We check it against real numbers.

vendo works the way a distributor does, not the way a marketplace does. A distributor doesn't take a cut of every sale between grower and store, it earns its keep by knowing both sides of a market. On the vendor side, that means pricing and sourcing intelligence. On the customer side, it means discovery. vendo never sits in the money's path on either side.

"Pricing help" here means one specific thing: taking a vendor's price for a job and sanity-checking it against real wholesale costs and real comparable pricing from other vendors selling the same thing, then telling the vendor what we found. We never charge for that check and we never take a percentage of anything that follows from it.

The test

What counts as pricing help

In scope. A cost model built from sourced wholesale prices (produce terminals, Restaurant Depot / Costco Business Center, Latino-specialty wholesalers like MexMax, USDA AMS market reports) compared against what the vendor is charging, or planning to charge, for a specific job. The output is a finding handed back to the vendor: here is what this actually costs you, here is what comparable sellers charge for it, here is where your price sits.

Out of scope. Setting the vendor's price for them, charging a fee for the analysis, taking a percentage of the booking that results, or building any checkout, invoicing, or payment flow around it. vendo hands over the reasoning and the numbers. What the vendor does with them, and how they get paid, stays entirely between the vendor and their customer.

SOURCING NOTE The wholesalers and market-report sources named above are listed only as sources for our own cost modeling. This is not a recommendation, and vendo has no affiliation with any business named here.

Worked example

The elotero gala booking

The first real application of this model was a full cost and sourcing analysis built for one elotero cart's private booking: a 200-guest nonprofit gala in California, October 2026. The report modeled his cart's ingredient costs, packaging, and labor from sourced wholesale pricing, then compared his own confirmed street prices against what established catering competitors charge for the same product.

His own confirmed street prices

$5.00
esquite, small
$6.00
esquite, large

These are his everyday neighborhood prices, not prices built for a catered private event.

What real catering competitors charge, per serving

$5.67–$9.00
across four SoCal/national elote-cart caterers

Pulled live from published pricing at Adrian's Elote Cart (SoCal), Dulce + Salty Co (Austin), Normita's (WA/OR), and LocoLotes (North Hollywood). None of the four ever prices a serviced corn-based item below $5.67, and most floor out around $6.00–$6.50 even at their highest-volume tiers. LocoLotes never drops below $6.00 per serving, even at 300 servings.

The pattern across all four companies: roughly $8–9 per serving at 30–50 unit scale, tapering to about $7–7.50 at 75–100, and flattening around $6–6.70 at 150–300 servings. This is what the same core product costs when a customer books it as a catered event rather than buying it off a street cart. It reframes the vendor's $5/$6 as an honest neighborhood price, not a generous or an unfair one, and as a real, unpriced concession he's making by quoting the host his everyday rate instead of an event rate.

SOURCING NOTE The nonprofit and the four companies named above are listed only as real sources used in this one research report. This is not a recommendation of any of them, and vendo has no affiliation with any business or organization named here.

Cross-checked against other vendor types

Not resting on one vendor's numbers anymore

Three market surveys (not real bookings, published competitor pricing research) checked whether the pattern above holds beyond corn carts: tamale, churro, and aguas frescas carts. For prepared hot food sold live, it held every time, with a real range: roughly 1.1–3.8x street price depending on the vendor type. The more interesting finding is what breaks the pattern. A self-serve, bulk-format aguas frescas booking (a sealed gallon, no attendant) actually priced at or below street rate, while an attended cart priced above it, same as every hot-food vendor surveyed. Ingredient cost barely moved either way. The real driver looks like whether labor and service are part of the sale, not what the vendor sells. See the taxonomy for the full breakdown.

What the comparison also found

The large esquite was underpriced relative to the small one

Small esquite, $5.00. Costed against sourced corn, cotija, mayonnaise, Tajín, lime, and California-compliant non-foam packaging.

Large esquite, $6.00. Going from small to large adds more ingredient cost than it adds in price: roughly $0.70 more cost for only $1.00 more price. Margin drops about 6.7 points versus the small size, for barely more profit per cup.

The report's finding: if the vendor is at all price-sensitive, the large should be priced closer to $7, which would restore its margin and make it the best dollar-contribution item on the cart rather than the weakest-priced one. That's the shape of a pricing-help finding: not "your price is wrong," but "here's what this specific item actually costs you, compared to what it's priced at."

DRAFT

A method shown, not a tool yet

Everything above is the reasoning from one case study, reproduced from the original research and checked against a single real booking. There is no pricing calculator on vendo today, no form a vendor fills in to get a number back. This page exists to show how the method works when it's applied by hand: gather sourced wholesale costs, gather real comparable pricing, compare both against the vendor's own price, hand back the finding.

The case itself flags its own weak spots honestly rather than smoothing them over: a handful of ingredient costs (Takis, Valentina, cacahuates japoneses) are marked as estimates because their case prices aren't published, and the report treats one competitor's own inconsistent volume pricing as a data point about the market, not a flaw in the method. Until more cases land, treat this as the shape of the model, not a finished, validated system.