Use case
A price-sensitive consumer, before ordering at a McDonald's store, faces a menu, coupons and threshold discounts and must decide which items and combinations cost the least.
Mental math or habit-based ordering, or reading user-compiled money-saving guides on social platforms that go stale when rules change.
Stacked coupons, second-item discounts and spend thresholds make manual optimization tedious, and users often overspend just to hit a threshold; public materials give no self-reported pain intensity, so this is workflow-structural inference.
xOcto's call
Demand is evidenced
Trend: chain-restaurant promotions are now complex enough to need a separate calculation layer, meaning 'figuring out platform rules for the consumer' can itself be a product. Entry: start with high-frequency chains whose rules are messy, charge per saved order or per basket rather than building a generic price-comparison tool; the same engine could be sold back to brands for promo design.
Reason to use it
Why users would choose it
Inference: versus mental math or searching guides, it reads the store menu and coupon rules and outputs one orderable combination, removing the step of checking each threshold by hand; price-sensitive users ordering several times a week get a definite answer even after rules change, so they would reach for it.
Where the easy answer breaks down
The tension worth following
An English validation note will follow from the public evidence.
If this is your job
Worth trying. Inference: versus mental math or searching guides, it reads the store menu and coupon rules and outputs one orderable combination, removing the step of checking each threshold by hand; price-sensitive users ordering several times a week get a definite answer even after rules change, so they would reach for it.
Entry and what to borrow
Trend: chain-restaurant promotions are now complex enough to need a separate calculation layer, meaning 'figuring out platform rules for the consumer' can itself be a product. Entry: start with high-frequency chains whose rules are messy, charge per saved order or per basket rather than building a generic price-comparison tool; the same engine could be sold back to brands for promo design.