ClearCOGS vs Lineup.ai vs 5-Out: Best for 1 Location?

Every restaurant owner has felt it: prepping for a Friday that never showed up, or running out of the special by 7pm on a night that was supposed to be slow. In 2026, a new category of AI forecasting tools promises to fix that guessing game. All three of the main players — ClearCOGS, Lineup.ai, and 5-Out — were built and priced with restaurant groups in mind, not the single location down the street.

That distinction matters more than the marketing pages let on. Over-prep is wasted food cost. Under-prep is a shortened menu and an annoyed dining room on a Friday night. Both are real money for an owner without a five-location cushion to absorb the misses — which is exactly why it matters whether these tools were trained on thin, single-location POS history or on chain-scale data nobody’s location actually resembles.

ClearCOGS, Lineup.ai, and 5-Out solve three different problems. ClearCOGS turns sales data into an ingredient-level daily prep sheet. Lineup.ai forecasts sales and labor with scheduling built in. 5-Out runs a sales-to-labor-to-purchasing loop with real-time midday adjustments. None publishes pricing obviously built for one location, and their headline accuracy numbers are vendor claims, not independent audits. For an established single location with consistent POS history, one of these can pay for itself in reduced waste and tighter labor. For a newer or very low-volume spot, a spreadsheet and an experienced manager’s gut may still be the better call — and that’s a legitimate answer, not a cop-out.

What follows: what each tool does, what it costs as best as it can be pinned down, whether it will even take a single-location Toast or Square account, and where the line sits between “worth the subscription” and “not yet.”

ClearCOGS vs Lineup.ai vs 5-Out: what’s actually different

ClearCOGS ingests sales history alongside weather and local events and sends back a daily email specifying how much of each ingredient to prep, order, and staff for. It reads less like a forecast and more like a playbook — a number turned into an action.

Lineup.ai forecasts sales, labor, and menu-item demand, then builds a schedule off that forecast automatically. It ships with a staff-facing app for shift swaps, which puts it closer to a scheduling tool with forecasting attached than a pure prediction engine.

5-Out runs the widest loop of the three: a sales forecast that feeds a labor schedule and a purchasing recommendation, with real-time guidance mid-shift and lookback reports afterward. It’s the only one of the three that explicitly markets midday recalibration.

None of the three is a full back-office suite. That category — inventory, accounting, purchasing, HR, and forecasting bundled into one platform — belongs to an all-in-one back-office platform like Restaurant365 or Crunchtime. ClearCOGS, Lineup.ai, and 5-Out are point solutions built around one loop: turning a forecast into a prep, staffing, or purchasing action.

Vendor blog comparisons in this space, including ClearCOGS’s own, tend to favor whoever is publishing them. Read against the actual product pages, the split is cleaner than the marketing suggests: ClearCOGS wins on prep specificity, Lineup.ai wins on scheduling and price transparency, and 5-Out wins on breadth of the loop it automates. An owner picks based on which single problem hurts most, not on which tool has the flashiest homepage.

For a broader look at where these fit against everything else being sold to independents right now, see our full roundup of AI tools for small restaurants.

ClearCOGS: the ingredient-level prep sheet

ClearCOGS’s differentiator is specificity. Instead of a sales number, the kitchen gets a daily emailed prep sheet broken down to the ingredient — how many pounds of chicken, how many portions of the special, how much bread to have ready — plus order and labor recommendations layered on top.

The company launched with Toast integration first, through Toast’s Partner Connect program, and has since added a listing on the Square App Marketplace. That covers the two POS platforms most independent restaurants already run.

ClearCOGS’s own materials and case studies lean toward mid-market and multi-unit operators — the kind of account that justifies a custom implementation. Single- and two-unit operators do adopt it, often after growing into it via an existing Toast relationship rather than shopping it cold as a day-one purchase.

There’s no public pricing page. Cost comes through a sales conversation, priced per location.

The ingredient-level output is the most genuinely useful thing this category produces — it directly attacks food cost, which is the line item most owners actually lose sleep over. But “contact sales” for a one-location shop means walking into that negotiation without a price anchor, which is a real disadvantage against a vendor that quotes higher to accounts that don’t push back.

Lineup.ai: sales, labor, and scheduling in one

Lineup.ai forecasts sales down to the hour, then builds a labor schedule directly off that forecast. A staff-facing app handles shift swaps and coverage requests, which moves the product beyond forecasting into day-to-day scheduling operations.

Inputs include POS sales history plus weather and local event data; Lineup.ai can also pull reservation data from Tock where that’s in use. Integrations cover Toast, Square, and Clover.

Pricing is published: $79 per location per month for forecasts only, $149 per location per month for forecasts plus scheduling, with a 10% discount for paying annually, according to lineup.ai/pricing.

Credit where it’s due — being the only one of the three with a real, public number is a meaningful trust signal for a small operator who’s tired of “contact sales” as an answer to a straightforward pricing question. It doesn’t guarantee Lineup.ai is the best fit, but it lets an owner do napkin math before a sales call instead of during one.

5-Out: the sales-to-labor-to-purchasing loop

5-Out pulls in POS data, labor scheduling, reservations, weather, local traffic, and event data, and forecasts up to roughly 21 days out. That’s the longest published horizon of the three, and it feeds all the way through to purchasing recommendations, not just a sales number.

The company markets fast setup with no lengthy onboarding, positioning itself as something that integrates with existing software rather than replacing it. Confirmed integrations include Toast, Square, and Aloha, plus 7shifts for labor scheduling, per 5out.io/partners and 7shifts’ knowledge base. Clover support is not confirmed on either company’s site.

5-Out advertises “up to 98%” forecast accuracy or confidence on its own marketing pages. That number needs a hard caveat: it is 5-Out’s own claim, with no published methodology, no disclosed sample size, and no independent audit backing it up. Vendors define and measure “accuracy” differently — against what baseline, over what time window, on what kind of location — and none of that is public here.

There’s no published pricing. Like ClearCOGS, 5-Out is quoted per location through a sales conversation.

The “98%” figure should be treated as a headline claim to test, not a fact to plan around — reasonable to ask for in writing, and worth confirming against a location’s own data before it factors into a purchase decision at all.

Does the accuracy hold up with a single location’s data?

All three tools train their forecasts on POS history plus external signals like weather and local events. The shorter or less consistent that history, the less the model has to work with — this holds true for any forecasting system, AI-branded or not.

Lineup.ai’s most concrete public accuracy figure comes from a case study published in partnership with PredictHQ, its events-data provider: 35% more accurate than prior forecasting methods, and up to 65% more accurate in one case. That’s a real, cited number — but it comes from five participating restaurants in a partner-published case study, not an independent audit, and not a study specifically isolating single-unit, low-volume operators.

5-Out’s “up to 98%” carries no comparable documentation at all — no sample size, no methodology, nothing to weigh against.

None of the three publishes accuracy figures broken out specifically for single-location, low-volume operators — which is exactly the owner asking the question. This is also a young enough product category that independent user reviews are still thin: searching for ClearCOGS, Lineup.ai, or 5-Out on review sites or restaurant forums turns up far more vendor case studies and marketing pages than side-by-side operator feedback, which is part of why testing before buying matters more here than in a mature software category. The practical move is to ask each vendor for a trial run against actual POS export data before signing anything annual, and to ask specifically how the model performs with under 12 months of consistent sales history, since that’s the profile most likely to exist at a newer independent.

This is the core judgment call in the category: AI demand forecasting is one of the few AI product categories in food service with a real, measurable ROI case on paper — reduced waste, tighter labor, fewer 86’d items. But “up to X% accurate” from any company selling the tool is marketing copy until it’s been tested against a specific restaurant’s own numbers. The gap between those two statements is the entire decision.

Real pricing (and what “contact sales” usually means)

Lineup.ai is the only one of the three with pricing posted anywhere public: $79 per location per month for forecasting alone, scaling to $149 per location per month with scheduling included, with an annual discount available.

ClearCOGS and 5-Out both route pricing through a sales conversation, quoted per location. Neither company publishes a rate card.

Adjacent context is useful here, with a clear caveat: it’s about a different, bundled product, not any of the three tools compared above. Owners discussing an all-in-one back-office platform like Restaurant365 on r/restaurateur reported a quote of $10,876.32 per year for two locations doing roughly $900,000 to $1,000,000 each in annual revenue. One owner in that thread summed up the math bluntly: “It’s not a bad program, but it’s just a tool. Is this tool going to put $10,876 to your bottom line once implemented? Nope. Not off two locations.” Another added: “The real ‘value’ from something like r365 comes when you start doing big revenue ($10m+) or have 5+ locations.”

That thread is about a bundled back-office suite, not point-solution forecasting software, and the dollar figures don’t transfer directly. What does transfer is the pattern: software in this broader restaurant-tech category is frequently sized and priced for groups doing significant combined revenue, and the ROI case gets murkier the smaller the account. Whether that same threshold applies to a $79-$149/location forecasting subscription is a much smaller ask than a five-figure back-office contract — but the underlying dynamic, software built for scale being sold down-market, runs across this whole category.

Expect ClearCOGS and 5-Out quotes to land somewhere in the low-to-mid hundreds per month per location for a single independent, based on Lineup.ai’s published range as the closest public reference point. Get the exact number in writing before signing anything annual — “contact sales” pricing tends to move based on how much the buyer pushes back.

POS integrations: Toast, Square, Clover

ClearCOGS confirms integrations with Toast and Square. Clover is not listed on ClearCOGS’s site as of this writing.

5-Out confirms Toast, Square, and Aloha, with 7shifts covering labor scheduling. Clover is not confirmed on 5-Out’s partner page either.

Lineup.ai confirms Toast, Square, and Clover, and adds Tock for restaurants pulling in reservation data. That makes Lineup.ai the only one of the three with a confirmed Clover integration.

An owner running Clover should verify directly with ClearCOGS and 5-Out before assuming compatibility — “not confirmed” on a vendor’s site means unverified, not necessarily unsupported. Partner integration pages change, and a direct sales conversation is the only reliable way to confirm current status.

There’s also a real overlap worth flagging before writing a check for any of these: the prep-sheet and purchasing guidance these tools generate covers similar ground to what dedicated inventory and purchasing platforms already do. Anyone already running or evaluating inventory and purchasing software comparisons should map the overlap carefully first — paying for a forecasting tool’s purchasing recommendation on top of an inventory platform’s ordering feature is an easy way to double-buy the same function.

The honest fourth option: your spreadsheet and your gut

Owners on r/restaurateur openly debate whether paid back-office and forecasting software is worth it below a certain size, and the skepticism isn’t reflexive — it’s grounded in what a spreadsheet and an experienced manager can already do. One commenter put it plainly: “most of your optimizations will be had through more a hands-on understanding of your operations.” Another argued the case for staying manual even more directly: “The restaurants that want to stay in business are tracking things weekly/monthly. Most of the top POS systems nowadays allow you to get this granular with reporting.”

That’s not nostalgia for pen and paper. Modern POS systems — Toast, Square, Clover — already export detailed sales-by-day, by-hour, and by-item data for free. The manual step these forecasting tools automate is turning that export into a usable prep, staffing, or order number. For a manager who already does that translation reliably, the AI layer is convenience, not a new capability.

That convenience has a real limit, though, tied directly back to the accuracy question above: under a year of consistent sales data, wide week-to-week swings, or a menu that changes often gives any forecasting model less to learn from. In that situation, a spreadsheet plus an experienced manager’s judgment can perform comparably — for the cost of a spreadsheet.

Owners who want some automation without committing to a full forecasting subscription have a lighter middle option worth checking first: dedicated AI food-waste tracking tools target the waste-reduction slice of this problem specifically, at a smaller commitment than a forecasting-plus-scheduling platform.

The real tradeoff isn’t AI versus no data — every modern POS already produces the data. It’s whether an owner will pay $80 to $150-plus per month per location to automate a translation step a competent manager is already handling reasonably well by hand.

Our take: who should actually pay for one of these

An owner with 12-plus months of consistent POS history, stable staffing, and a measurable food or labor cost problem is the clearest fit for one of these tools — it will likely pay for itself. Lineup.ai’s published pricing makes it the easiest of the three to evaluate without committing to a sales call first.

If ingredient-level prep waste is the biggest leak — running out mid-shift, or throwing out prepped food that never sold — ClearCOGS’s daily prep sheet is the most directly actionable output of the three, and worth getting a real quote for despite the “contact sales” friction.

If the pain point is matching staffing to actual demand and building the schedule around it, Lineup.ai and 5-Out both target that directly. Between the two, Lineup.ai’s public pricing and confirmed Clover support give it an edge for a single independent trying to compare options without three separate sales calls.

An operator under a year old, with inconsistent volume, or who doesn’t yet trust their own POS data enough to hand it to a forecasting model should skip all three for now. Tighten the spreadsheet-and-manager process first, and revisit once there’s a full year of clean sales history to test against.

Across all of it, the same rule applies: don’t buy on an accuracy percentage printed on a homepage. Ask for a trial against actual sales data before signing anything annual. That’s the only number that means anything for a specific restaurant.

Frequently Asked Questions

What’s the actual difference between ClearCOGS, Lineup.ai, and 5-Out?

ClearCOGS outputs an ingredient-level daily prep sheet. Lineup.ai outputs sales-and-labor forecasts with built-in scheduling. 5-Out outputs a sales-to-labor-to-purchasing loop with real-time midday guidance. They overlap in the problem they’re solving but aren’t interchangeable products.

Do these tools work for a single location, or do you need chain-level data?

All three technically support single locations, and ClearCOGS specifically mentions single- and two-unit operators among its adopters. None publishes accuracy figures specific to low-volume single-location data, though, so a trial against actual POS export data is worth requesting before committing.

How much do they actually cost for a one-location independent?

Lineup.ai is the only one with public pricing: $79 per location per month for forecasts only, up to $149 per location per month with scheduling included. ClearCOGS and 5-Out both require a sales conversation — get an exact quote in writing before signing an annual contract.

Is an AI forecasting subscription worth it over a spreadsheet and an experienced manager?

It depends on data consistency and volume. With 12-plus months of stable POS history and measurable food or labor waste, a forecasting tool likely pays for itself. With a newer or lower-volume location, a disciplined spreadsheet plus manager judgment can hold its own for free — that’s a legitimate choice, not a lesser one.

Which integrate with Toast, Square, or Clover?

Lineup.ai confirms Toast, Square, and Clover. ClearCOGS confirms Toast and Square, with no confirmed Clover integration. 5-Out confirms Toast, Square, and Aloha plus 7shifts for labor, also with no confirmed Clover integration. Vendor partner lists change, so it’s worth verifying directly before buying.

The bottom line for one location

The three tools solve genuinely different problems, and none is priced or proven specifically for a single low-volume location. Lineup.ai’s public pricing makes it the easiest to evaluate up front, but all three deserve a trial against real POS data before an annual contract gets signed — and a spreadsheet is still a legitimate answer if the data isn’t there yet.

The practical next step: pull 12 months of actual sales-by-day-and-item data from the POS, ask whichever vendor looks most relevant for a trial forecast against it, and compare that output to what the manager would have guessed anyway. That comparison is worth more than any accuracy percentage on a vendor’s homepage.

The best forecasting tool for a one-location restaurant isn’t the one with the biggest accuracy number on its homepage — it’s the one that beats the manager’s gut on the restaurant’s own sales data, and the only way to know that is to test it, not read about it.

References

1. Lineup.ai pricing page — https://lineup.ai/pricing
2. Lineup.ai integrations page (Toast, Square, Clover, Tock) — https://lineup.ai/integrations
3. Lineup.ai × PredictHQ case study (35% more accurate, up to 65% in one case; 5 participating restaurants) — https://www.predicthq.com/customers/lineup-ai
4. 5-Out homepage / accuracy claim (“up to 98%”) — https://www.5out.io
5. 5-Out partners page (Toast, Square, Aloha) — https://www.5out.io/partners
6. 7shifts knowledge base — 5-Out integration — https://help.7shifts.com
7. ClearCOGS × Toast Partner Connect — https://pos.toasttab.com/partners/clearcogs
8. ClearCOGS × Square App Marketplace — https://squareup.com/marketplace/clearcogs
9. r/restaurateur — Restaurant365 pricing/ROI thread (adjacent bundled product, used only to illustrate the size-threshold dynamic, not the three forecasting tools directly)