Pricing incidents demand speed while every suspected cause still needs proof.
Restaurant service needs correct totals quickly, while engineers need evidence strong enough to justify a production fix.
Who you’d be doing this for
“My shift lead showed me two identical discounts with different totals, and guests were already asking why.”
Obiageli Owusu · Restaurant Manager
Runs daily service at a multi-location restaurant group affected by inconsistent order totals.
What is at stake
Discounts are applying differently across locations, leaving managers to explain inconsistent totals during service. You must decide what AI can assemble automatically and what engineers must verify before a fix ships.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- faster diagnosis vs. evidence-backed causes
- service urgency vs. production safety
- AI context assembly vs. engineer confirmation
- reusable workflow vs. narrow incident scope
Why Toast
Restaurant point-of-sale pricing connects discounts, taxes, and service charges to every order an operator depends on during service.
Written with these in mind
Not your kind of problem? 25 more at Toast, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.