PriceLift
Edge-based dynamic pricing: serverless yield management using location and affluence signals.
Problem
Many SMBs (tours, events, classes, rentals) use static pricing and leave margin on the table. Building dynamic yield in-house usually means servers, state, and ops—overkill for teams that just want “price that responds to demand and context” without running infrastructure.
Solution
PriceLift runs at the edge: Cloudflare Workers + KV. Request context (e.g. location, device, referrer) is mapped to signals; a simple pricing rule engine returns a price. No origin server for pricing logic—low latency, low cost, and scales with traffic. API-first so any storefront or app can consume it.
Why it matters
Dynamic pricing improves yield and competitiveness; edge execution keeps logic close to the user and avoids a dedicated pricing backend. For solopreneurs and SMBs, “plug in our API and get context-aware prices” reduces time-to-value and operational burden.
Tech choices
- Cloudflare Workers — Serverless at the edge; no servers to manage; pay per request.
- KV — Low-latency key-value store for rules, segments, or cached prices; globally replicated.
- Signals (location, affluence) — Enrich request with context; keeps pricing logic simple and testable.
- API-first — Any front-end (e-commerce, mobile, landing page) calls the same endpoint; backend-agnostic.