Every week Alfredo reads your own transaction data and hands you a short list of small changes worth trying, the way a good consultant would, except it is there every week and it measures what actually happened. We do not inflate numbers. We do not estimate around gaps. If the data is not there, the number is not there either.
Our philosophy is simple: no drastic changes. You know your business better than any outsider ever will. Alfredo's job is to hand you the information for small, low cost changes, help you try them, and stack incremental gains that hold up over time.
Works with your existing POS system. No new hardware, nothing to install. Tested with a brewpub and currently live across a 14 location restaurant chain.
They move about 290 orders a week and demand barely flinches at 50 cents. The engine estimates the bump costs about 2% of volume and still comes out well ahead on net revenue.
Low risk · reversible in under 15 minutes · measured over 4 weeks
The pairing runs at 3.1x lift across 87 shared baskets, and about 340 beverage only tables settle every week. A server nudge could turn some of those into food attached checks.
Flagged unproven by the engine itself until a trial says otherwise. That flag is Alfredo working.
31 of their last 44 reviews mention the wings, and the pattern is building. Labeled as an observation of what their customers are saying, not a recommendation.
Alfredo watches what your competitors' customers keep saying and puts the pattern on your weekly board, before it costs you regulars.
Sample board. Illustrative items and numbers, built the same way the engine builds real ones. Your board comes from your own data, and real recommendations vary. See what a finished trial looks like →
Not a dashboard. A weekly to do list that grades itself. Alfredo runs a loop: it reads your POS, ranks its recommendations, you pick one, it measures the outcome, and the result trains next week's board. Four kinds of recommendations, one ranked list.
Recommendations across pricing, promotions, positioning, and operations, ranked by what they are worth, each with its evidence attached. How the loop works →
A working copy of your menu you can experiment on, where any edit becomes a small, measured trial in four clicks. For businesses that share their recipe costs, Alfredo also connects what each dish costs to make with what it sells for. Inside the lab →
Who is around you, what they charge, and what their customers keep saying. Photograph a competitor menu and get it matched against your own sales. See the intel →
A chat panel inside every tab. Ask how the week is going in plain language and get answers from your own data. Try the demo →
"Why is Tuesday slow?"
A dashboard hands you charts and leaves the interpretation to you.
A consultant hands you a ten slide deck of findings, too much information for a simple question.
Alfredo tells you what happened, why it happened, and how you can fix it. All in one place. And then it checks whether the fix worked.
You already run the kitchen, the floor, the schedule, and the books. You should not need a statistics degree to understand your own business. That is Alfredo's job now. No new hardware. No new software subscriptions to layer on. Alfredo connects to the POS you already run and does the rest. If your POS system rings your sales, Alfredo can work for you: restaurants, bars, cafes, bakeries, food trucks.
Alfredo reads your existing Toast or Clover data. There is nothing to install at the register and no retraining for your staff.
Your sales, your menu, your guests, and your competitive picture in one view, instead of five tabs and a spreadsheet.
Alfredo is not another dashboard to check. It reads the data for you and hands you the recommendations worth trying.
Tested with a brewpub and live across a 14 location restaurant chain: real transactions, live weekly boards, real trials with real verdicts.
Alfredo is patent pending with the USPTO.
We are onboarding a small number of independents as design partners. How we work with you →
Pilot partners get the full platform on their own POS data, direct access to the founder, and pricing that reflects being early.