Retail Store Planning Software

Retail site selection software helps you choose store locations using data instead of instinct. Maptive plots your stores, competing locations, and candidate sites on one map, draws each trade area on real road networks, and layers census demographics plus a growing library of retail data categories underneath. You rank sites on the demand each one can reach, see where a new store might overlap an existing one, and export the analysis, all without a GIS analyst in the workflow.

A trade area is the geographic zone a store draws its customers from. It is rarely a neat circle, because real customers travel along roads, so Maptive maps it as a drive-time polygon that follows the road network. Once the trade area is drawn, you can layer income, density, and spending data inside it to measure the demand a site can reach. That turns a vague sense of "good location" into a number you can compare across candidates.

You plot every candidate on one map, draw a drive-time trade area around each, and layer demographic and spending data inside those boundaries. Maptive then lets you compare sites on the demand each reaches rather than on rent or curb appeal. Heat maps show where your existing customers concentrate, and overlap analysis flags sites that would compete with stores you already run. The result is a ranked, defensible shortlist you can take into a real-estate decision.

Yes. Draw drive-time polygons around the existing store and the proposed site. Where the two polygons overlap, the locations would draw from the same shoppers, which is the geographic signature of cannibalization. Layer demographic data on that shared zone to judge if it holds enough demand to support both stores or if the new site should move. Seeing the overlap before signing a lease is far cheaper than discovering it in next year's same-store sales.

For most retail decisions you want household income, population density, age distribution, and household composition inside the trade area, and Maptive includes more than 50 US Census variables covering exactly those, down to the block-group level on every plan. A growing library of retail and spending categories adds consumer behavior detail alongside the census data. Together they let you match a site's trade area to the customer profile your concept serves, rather than guessing from a map alone.

A drive-time map, or isochrone, shows how far customers can travel to a location within a set number of minutes along real roads. Maptive draws these polygons around current and proposed stores, which is more accurate than a radius because it follows how people drive. For store planning, it defines a realistic trade area, reveals where two stores would overlap, and shows if a candidate site reaches enough households to support the format you have in mind.

Overlay your customer pins on demographic and spending data, and the map shows which areas around a store deserve regional spend and which are already well covered. Instead of spreading a budget evenly across a metro, you direct it toward the trade areas where demand and your customer profile line up. Retail teams using this approach report lower regional marketing spend, because the dollars follow the demand the map reveals rather than a flat radius around each store.

A single Maptive map holds up to 200,000 markers, rendered with WebGL so the view stays responsive. A full national chain, its competing locations, and a prospect list load together rather than splitting across regional files. That capacity matters for chain-level planning, because cannibalization and coverage gaps only become visible when every store and every candidate sit on one screen at the same time, not when they are scattered across separate spreadsheets.

Yes. You upload your customer, loyalty, or transaction file as a spreadsheet, and the geocoding engine plots each record, correcting messy addresses on the way in. From there you can build a heat map weighted by spend or visit count, or compare where your customers live against the demographics of a trade area. Using your own data alongside census and market layers is what turns generic site selection into a decision grounded in your actual customer base.

No. Maptive is built for retail and real-estate teams, not GIS specialists. You upload a spreadsheet, the platform geocodes it, and the trade-area, demographic, and heat-map tools work through a plain interface. Most users produce a usable site analysis in their first session, and support is on hand to set up the first map. The point is to put site-selection analysis in the hands of the people making the call, without routing every question through a specialist.