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Plan your operations around how the world actually works

Factori gives supply chain and logistics teams the real‑world data they’re missing—how people move, how roads behave, how markets are changing—so you can make better decisions on networks, capacity, routes, and service levels.

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Keep promises in a world 
that doesn’t stop changing

Most plans assume the world is stable: demand follows history, roads behave, and markets grow evenly. In reality:

Demand shifts between regions and channels

Congestion, incidents, and events disrupt lanes

Some markets quietly strengthen while others soften

Factori adds an outside‑in view of every route, depot, and service area so you can:

Put capacity where it’s actually needed

Protect ETAs and SLAs with fewer surprises

Reduce avoidable cost from re‑routes, overtime, and fire‑drills

Rethink your network planning

Network & depot placement

Decide where to open, resize, or close nodes based on real demand, access, and growth.

Lane & route planning

Design lanes using actual congestion and incident patterns, not just distance on a map.

Volume & capacity planning

Plan linehaul, last‑mile, and labor using local demand and economic signals—not just last year’s volume.

ETA & SLA performance

Set realistic promises by area and time of day; know which zones are structurally high‑risk.

Omnichannel fulfillment

Choose the right node (store, DC, micro‑fulfillment, dark store) based on how people move and shop in each area.

Real world data that matters for logistics

You keep your WMS, TMS, order data, and forecasts. Factori brings the real‑world layer.

All datasets are aggregated, documented, and designed to be easy to connect to your depots, lanes, zones, and customer areas.

Mobility

Mobility

How people and goods move around your service areas and corridors; which zones are truly “busy.”

Events

Events

Sports, concerts, festivals, holidays, and other events that spike local volume and congestion.

Retail Sales

Retail

Where category spend is rising or falling—early signals of volume shifts by region.

Market

Market

Search and commerce interest that points to future demand by product and geography.

People

People

Aggregated view of who lives and works in each area—useful for estimating pickup, delivery, and store traffic.

Places

Places

What’s on the ground: stores, depots, competitors, big shippers, and demand generators.

How data teams use 
real world context

Design better networks

  • Combine Retail Sales, Economic, People, and Places to see where demand is heading, not just where it’s been.
  • Decide which regions need more capacity, new nodes, or different fulfillment strategies.

Build more realistic lanes and routes

  • Use Traffic, Mobility, and Events to set realistic transit assumptions by corridor and time of day.
  • Flag high‑risk segments so planners can add buffers or alternative routes.

Plan capacity and labor

  • Pair local demand signals (Retail Sales, Market, Events) with depot and route data to plan inbound/outbound volume.
  • Align labor and fleet plans with expected peaks by day, week, and season.

Protect ETAs and SLAs

  • Use Traffic and Events to adjust promises in specific zones and windows.
  • Prioritize which regions need extra attention during disruptions or peak periods.

Critical questions planners 
can now answer confidently

Are our depots in the right places for where demand is going, not just where it was?

Which lanes and regions are structurally high‑risk for delays and missed ETAs?

Where should we add linehaul or last‑mile capacity ahead of next season?

How will new events, competitors, or economic changes affect volume in specific areas?

Which orders and routes should get more conservative promises based on real‑world conditions?

Teams that make decisions with data

Heads of Supply Chain and Logistics

who need error down and trust up.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Looking for clean, reliable visit data to plug into models and dashboards.

Get started

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Pick a focus area

For example: last‑mile ETA reliability in a key region, upcoming network redesign, or peak‑season planning.

Choose a starter bundle

Common starting point for logistics: Traffic + Mobility + Events + Retail Sales, then add People and Economic as needed.

Run a focused review

Compare your current plans and performance with a view that includes Factori data, and decide where to adjust routes, nodes, or capacity first.

See dataset samples
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