PAR, Square launch AI tools to draft restaurant schedules, run marketing

The newest restaurant AI tools are moving past menu suggestions and into the manager’s most sensitive job: deciding who works, when, and for how long. PAR Technology’s PAR Intelligence and Square’s expanded Square AI both aim to help operators draft schedules, manage marketing and tighten labor planning, a shift that could reach every line cook, server and shift lead on the floor.

PAR launched PAR Intelligence on April 7 as an agentic AI layer for multi-unit operators, built on more than 12 billion annual transactions, 640 million guest and customer profiles, 400 million loyalty members, 200 enterprise brands, 150,000 locations and 650 integrations. The company said the first agents include an Insights Agent, an Offers Agent for marketing campaigns and a Developer Assist Agent, with more tools planned. Square broadened Square AI on Oct. 8, 2025 with local context from weather, events, news and reviews, saying sellers can use it to make menu, staffing and inventory decisions and ask for staffing recommendations tied to local conditions.

That matters because scheduling is not just paperwork in restaurants. In many places, predictive scheduling and fair-workweek rules require advance notice of schedules, limit last-minute changes and can trigger premium pay when shifts are altered. The point of those laws is simple: workers need enough notice to arrange childcare, transportation, second jobs and other commitments. An AI system that drafts schedules could reduce human error and better match labor to demand, but it also raises a harder question: who can explain why one server got cut and another got added?

The upside is obvious to anyone who has dealt with a chaotic weekly schedule. AI could help managers avoid availability mistakes, anticipate a weather-driven rush or staff up for a local event without spending hours inside a spreadsheet. It could also free up a manager who is stuck behind a laptop instead of on the floor. The downside is just as clear in a business built on thin margins and high turnover: if the software is mainly used to trim labor, it can make schedules feel more opaque, and workers may have less visibility into how fairness is measured.

The broader industry is already leaning in. The National Restaurant Association said many operators were deploying technology, including AI, to modernize hiring and improve employee efficiency, and Restaurant Business reported in March that 51% of limited-service brands were investing in AI. Square also said its food-and-beverage gross payment volume grew 16% year over year in the fourth quarter of 2025, underscoring how aggressively it is tying restaurant growth to automation. The real test now is whether these tools make labor decisions more predictable, or simply make lean staffing easier to hide.