In　the　context　of　the　rapid　digital　transformation　of　the　catering　industry,　the　design　of　ordering　interfaces—key　hubs　of　human–computer　interaction—has　become　critical　to　user　service　quality　and　brand　competitiveness,　especially　in　terms　of　usability,　visual　appeal,　and　emotional　resonance.　Based　on　a　human–computer　interaction　design　framework,　this　study　proposes　a　dual-path　optimization　model　integrating　user　demand　mapping　and　conflict　resolution　to　synergize　explicit　need　translation　with　innovative　design　problem　solving.　The　model　employs　KE　to　capture　implicit　user　needs,　applies　AHP　to　construct　a　weighted　design　element　system,　and　uses　QFD　to　establish　a　matrix　linking　user　needs　with　technical　attributes.　To　address　contradictions　among　design　elements,　TRIZ　is　introduced　to　resolve　conflicts　between　functional　redundancy　and　interaction　efficiency.　Additionally,　generative　AI　tools　such　as　MidJourney　are　incorporated　to　accelerate　concept　generation　and　improve　innovation.　Based　on　user　evaluations　and　controlled　experiments,　the　optimized　design　demonstrates　measurable　improvements　in　task　efficiency　and　visual　appeal.　Overall,　the　dual-path　approach　effectively　bridges　the　gap　between　vague　user　needs　and　concrete　design　solutions,　achieving　a　balanced　integration　of　functionality,　aesthetics,　and　interactivity.　The　proposed　model　overcomes　the　limitations　of　experience-driven　design　by　offering　a　systematic　methodology　encompassing　demand　analysis,　technological　transformation,　conflict　resolution,　and　intelligent　generation,　with　practical　value　for　enhancing　the　user　experience　of　digital　service　touchpoints　in　the　catering　sector.　©　2025　by　the　authors.