Strategy Explorer
An interactive teardown of the landscape, the pains we solve, the features that beat each competitor cluster, our defensible UX moats, the pricing model, and the sequenced GTM.
Each moat sits on the seam between AI, spatial intelligence, and commerce. Single-vector competitors would have to rebuild their stack to ship them.
Pick any number of stops; we order them by walking distance from the entrance with a greedy nearest-neighbor solver, then estimate total time including floor transitions.
Why it's a moat — Live at /app/plan. No competitor offers cross-store walking optimization.
Open route builderBudget tier, favorite categories, and the live mall directory all feed the prompt. The same question ("a gift for my mom") returns different stores for a value vs premium persona.
Why it's a moat — Daydream/Phia don't know what's in stock 200 ft away. Mall apps don't know who you are.
Talk to the conciergeReserve items from three merchants into one pickup window. Shopper picks up at one consolidated counter; merchants settle independently.
Why it's a moat — Shop app is single-merchant. Mall apps don't transact. We sit in the seam.
Open cartThree-floor SVG map with animated paths and floor switching. Not an embedded image — a real graph the router walks.
Why it's a moat — Mappedin sells this as the whole product; we ship it as one feature alongside commerce and AI.
Open mapPush the promo when the shopper's route passes the merchant's category radius — not when they wake up, not when the merchant fires a blast.
Why it's a moat — Modeled 5–8× redemption lift vs blanket promo apps like RetailMeNot.
Reserve a fitting-room slot + selected items pre-pulled. Walk in, try, decide. Merchant restocks unselected automatically.
Why it's a moat — No competitor has this. Requires the inventory + spatial + commerce stack we already have.
