Multi-unit restaurant operators can now connect their back-of-house operating data directly to the AI tools their teams already use — without paying extra — following Decision Logic's launch of Open Semantic Access, available now and debuting live at FSTEC 2026.
The new capability delivers read-only access to Decision Logic platform data — spanning inventory management, food cost variance, labor optimization, and sales reporting — along with the semantic context AI models need to correctly interpret that data. That means an AI tool querying the system can distinguish between gross and net sales, or between a case quantity and an individual item, before it begins generating answers. Operators can direct that data to ChatGPT, Claude, Gemini, or any other tool they choose, rather than relying on a single vendor's proprietary chat interface.
The Operations Problem It Solves
For multi-unit brands, pulling an answer that falls outside an existing dashboard has historically meant exporting data restaurant by restaurant, cleaning and combining files, and potentially waiting weeks for a custom report to be built. Decision Logic estimates Open Semantic Access can compress that path from question to answer by three to four times in applicable use cases. Instead of asking whether a report exists, leadership can open with a business question — comparing ideal versus actual menu-item performance, analyzing true guest traffic, or building a margin view — and get a tailored analysis without new software or integration work. That efficiency is directly relevant to back-of-house leaders managing food cost control and labor and prep-and-storage operations across large portfolios.
No Per-Location Toll
The pricing structure may be the most immediately consequential detail for operators evaluating the capability. Open Semantic Access is included in the Decision Logic platform at no additional charge. The company illustrates the stakes with a straightforward example: an AI or API add-on priced at $300 per location would cost a 450-unit organization more than $135,000 annually — a figure that grows with every new opening. Decision Logic charges no per-location fee to activate the feature.
The architecture is also intentionally portable. Because operators bring their own AI credentials and methodologies, they can switch tools as the technology evolves without losing underlying access to their operating data. That flexibility matters as energy-and-sustainability pressures and automation investments push restaurant brands to consolidate and interrogate BOH data more aggressively.
"Restaurant operators shouldn't have to buy their own data back just because they want to use it with AI," said Keegan Conrey, CEO of Decision Logic. "Open Semantic Access is built around a straightforward principle: it's your data. You should be able to use it with the tools you choose, ask the questions that matter to your business and get answers without waiting for someone else's roadmap."
Current Decision Logic customers include 54th Street Restaurants, RibCrib BBQ, Golden Corral, Taco John's, and Twin Peaks. Operators can request a demo at decisionlogic.io/demo.
Written by Michael Politz, Author of Guide to Restaurant Success: The Proven Process for Starting Any Restaurant Business From Scratch to Success (ISBN: 978-1-119-66896-1), Founder of Food & Beverage Magazine, the leading online magazine and resource in the industry. Designer of the Bluetooth logo and recognized in Entrepreneur Magazine's "Top 40 Under 40" for founding American Wholesale Floral, Politz is also the Co-founder of the Proof Awards and the CPG Awards and a partner in numerous consumer brands across the food and beverage sector.
