It began with repetition. Every time we reviewed a site, we did the same work: download the trade-area data, pull the demographics, attach the sales figures, and cross-check them against a map open in another window. Seoul's public data is remarkably rich — but scattered, never in the shape of an answer. So we built the tool we wanted to use: a way to read Seoul's trade-area data layered on a single map. That is how RETAIL FORESIGHT started, and every review we do now runs on top of it.
What it shows are layers. Foot traffic by trade area, with its hourly and weekly distribution. The resident and workplace populations behind a street. The anchor facilities that give people a reason to gather. Sales by category, and their trajectory. Change indicators that tell you whether a district is growing or fading. Each is a number anyone can obtain. The value appears when they are read together, in the same place.
Layered, the data starts telling stories. A deep workplace population with empty evening sales means an office district that drains at quitting time — lunch and dinner need different tenants. A sufficient resident base with no anchors means a neighborhood with a catchment but no reason to come out — a single destination fills the gap. Heavy foot traffic without the sales to match means people are merely passing through. The same headline — "tens of thousands of daily passers-by" — becomes three entirely different prescriptions once you read it in layers.
But let us be clear: this is only data. Data is a summary of the past; the present of a street exists only on the ground. There are slopes no map registers, noises and smells no statistic carries, expressions of a street that never became a number. Weather, too — a rainy weekday and a clear weekend are different trade areas, and a street that lives on summer nights is not the street it is in winter. We only visit the sites the data lets through, but we have never concluded without the visit. The tool tells you where to look. What you actually see is confirmed on foot.
The streets of Seoul we read on this tool, we intend to write about here, one by one — what the trend lines say about where a district is heading, how the flows of visitors and tourism reshape a street. The data is public and the tool is built; what remains is interpretation. And interpretation is always an invitation to argue — if you know where we are wrong, tell us. That conversation is closer to the real reason we built the tool.