Bringing Allergen Intelligence to Digital Ordering via Olo

If you are one of the 800+ restaurant brands using Olo — the digital ordering and guest experience platform trusted by P.F. Chang's, Nando's, Panda Express, First Watch, and Denny's across more than 90,000 locations worldwide — you'll be excited to learn that Foodini can pull the menu and item data from your Olo setup to offer a layer of dietary intelligence and allergen compliance over your digital ordering workflows, enabling operators like you to deliver accurate allergen disclosure at the exact moment guests are making ordering decisions.

The Problem This Solves

Olo is where digital ordering happens. For 800+ restaurant brands, it is the infrastructure behind every online order, every delivery, every app-based purchase — the platform that translates a guest's intent into an operational ticket. The menu data flowing through Olo contains item names, descriptions, modifiers, and pricing. What it does not inherently carry is allergen information.

When a guest with a food allergy opens a restaurant's app or website powered by Olo, they encounter a menu. Under California's SB 68 — which requires written allergen disclosure on menus and goes into full enforcement on 1 July 2026 — that digital menu is a menu in the eyes of the law. The same obligation emerging in Maryland (HB181), New York, Michigan, and Virginia applies equally to the digital channel.

For most operators on Olo, allergen information exists somewhere in the business — in a recipe management system, in a spreadsheet, in a binder at the host stand. It is rarely embedded in the digital ordering experience itself, at the item level, where a guest can see it at the point of decision. Foodini closes that gap by connecting to the menu and item data in an operator's Olo setup, running it through Foodini's AI allergen engine, and surfacing accurate, guest-facing allergen disclosure within the digital ordering experience.

What Foodini Enables

When your culinary or operations team updates a menu item — changing a recipe, swapping a modifier, onboarding a new supplier for a core ingredient — Foodini's allergen layer is updated to reflect those changes. Staff no longer need to manually cross-reference ingredient lists or rely on allergen cards that may not reflect last week's menu change. Guests with food allergies or dietary restrictions receive accurate, up-to-date information at the point of ordering, visible in the same digital experience they already use to place their order.

For multi-location operators — which describes the vast majority of Olo's customer base — this means allergen disclosure is as consistent as the menu itself. A guest ordering from a P.F. Chang's in Chicago and one in Dallas will encounter the same allergen information on the same item, governed centrally, surfaced locally. The same standard of accuracy Olo delivers for pricing and availability, Foodini delivers for allergen transparency.

Foodini's data shows that 54% of allergic incidents in restaurants occur after staff have already been notified of a guest's allergy — not because staff were untrained, but because they were working from inaccurate or outdated ingredient information. Moving allergen disclosure to the digital ordering layer — where the guest self-serves accurate information before the order is even placed — reduces the burden on staff and reduces the risk of an incident rooted in bad data.

The Scale of the Opportunity

173 million Americans have a food allergy or dietary need. 33 million have a clinically diagnosed food allergy. These guests are not a niche segment — they are a material share of the ordering population that every Olo-powered restaurant is already serving, whether or not their menu currently tells those guests what they need to know.

For operators who have invested in Olo precisely because the digital channel matters, adding allergen transparency to that channel is the natural next step — and, as of 1 July 2026 in California, a legal requirement that extends to every menu format, digital or otherwise.