Reach defines the shortlist
One-day drive-time coverage, population reach, and service-level promises narrow the map before cost enters the picture. We model reach cell by cell, not metro by metro.
Reach your customers. Staff your building. Keep your cost per unit honest.
Vista helps companies site distribution centers, fulfillment operations, and logistics networks with drive-time modeling, warehouse labor analytics, and incentive negotiation. The best DC location serves the network and the labor market — most analyses only check one.
A distribution center is a bet on where your customers, your workers, and your carriers will be for the next decade.
One-day drive-time coverage, population reach, and service-level promises narrow the map before cost enters the picture. We model reach cell by cell, not metro by metro.
DC corridors saturate fast. Wage pressure, competitor density, and turnover risk in a submarket can erase everything the pro forma promised.
Interstate access, intermodal terminals, ports, air cargo, and parcel-hub proximity drive transportation spend — the biggest line in most network cost models.
Distribution projects can capture credits, abatements, and training funds — but jurisdictions weigh warehouse jobs differently, and knowing where the appetite is saves months.
Site strategy, incentives, and analytics — integrated from day one. No handoffs. No silos.
Coverage analysis that shows exactly which markets, customers, and populations each candidate location can serve — and at what service level.
Supply, wages, competing distribution employers, and turnover risk for the exact occupations you hire — before you commit to a submarket.
Highway, intermodal, port, and parcel-hub access evaluated against your inbound and outbound freight profile.
Competitive negotiation for credits, abatements, and training support — calibrated to how each jurisdiction values distribution employment.
Existing product versus build-to-suit trade-offs, entitlement risk, and utility readiness rolled into one comparison.
Impact modeling for public engagement, plus Navigator-backed compliance so incentives convert to captured value.
Service promises, freight profile, headcount, and automation level — the constraints that define a viable site.
Drive-time reach, labor depth, transportation cost, and real estate screened together, not sequentially.
Negotiate finalists against each other and structure packages that fit distribution employment realities.
Diligence, agreements, announcement support, and ongoing incentive compliance.
Start from what the building has to do: which customers or stores it serves, at what service level, with what freight profile. That defines a reach envelope — then within it we score labor supply and cost, transportation access, real estate, utilities, and incentives. The best answer serves the network and the labor market at the same time; most bad DC decisions optimized one and ignored the other.
It's the population, customers, or store base a truck can legally reach from the site within one driver-day. Small shifts in location can swing one-day reach by millions of people, which is why we model coverage at the hex-cell level across the entire U.S. rather than comparing metros on straight-line distance.
In saturated logistics corridors it's often the biggest operating risk in the deal. When several large distribution employers share one labor shed, wages ratchet up and annual turnover can exceed 100 percent, and backfilling at that rate quietly destroys the labor savings that made the market look cheap. We score turnover risk and competitor density before you commit, not after.
Yes, though appetite varies. Many states offer job creation credits, property tax abatements, sales tax exemptions on equipment, and training funds that distribution projects can capture — but some jurisdictions discount warehouse employment relative to manufacturing. Knowing where distribution projects are genuinely wanted focuses the search and strengthens negotiations.
Yes — automation changes the labor question rather than eliminating it. Headcounts drop but shift toward maintenance technicians, controls talent, and supervisors, occupations with much thinner labor pools. We model the staffing plan you'll actually run, which often points to different markets than a conventional DC screen would.
Give us your service promises and your freight profile. We'll map the locations that reach your customers and can actually staff the building.