AI Product Strategy & Experience Design
Hungry, but not sure what to eat? Connect a craving to a clearer choice—and an AI product idea to a practical business.
Food discovery is scattered across menus, restaurant listings and delivery apps. CRAVIQ explores a conversational starting point that brings the craving, budget and meal context into one decision.
A testable product and business blueprint connecting customer experience, merchant value, recommendation quality and a staged pilot.
The essentials below. Open any act for detail, or follow the complete eight-phase journey.
Understand food-decision friction and the value for consumers and merchants.
Outputs Customer journey · Business modelGive the product a recognisable identity and a useful conversation.
Outputs Brand system · Conversational prototypeConnect recommendations, data and clear operating ownership.
Outputs Recommendation framework · Platform blueprintTest commercial assumptions before moving into a focused pilot.
Outputs Commercial scenarios · Pilot roadmapSelect + to explore an act. Select − to minimise it.
A practical flow for asking, filtering and comparing.
Recommendation logic, integrations and operational ownership.
Choose how you want to eat and set a budget. This small example shows how context changes the shortlist and makes the total cost visible.
Fictional sample meals and estimated costs. No live menus, dietary verification, orders or payments.
Meal Rp40,000 + estimated tax/service Rp5,000.
A sit-down option with Rp15,000 left in your budget.Connect customer insight, AI product design and commercial thinking so a food-discovery idea becomes a testable experience and a focused pilot.
Proposed capability matches for an illustrative project; no actual CRAVIQ assignments are claimed.
Explore the full journey, or discuss a similar challenge with INNOV.IN.
