DataGlue
Logistics

Warehouses

Join stock scans, pick lists and dispatch records to find where orders slow down.

Example tags

What you can learn

  • Packed over 2 hours ago, no dispatch scan
  • Pick started 30 minutes after the request
  • Moved through 3 storage locations today
  • Batch stored during a temperature breach
  • Packed and dispatched before the cut-off
  • Received stock, then recorded a count mismatch

Built from recorded events, using the rules we agree with you.

From events to a tag

Say what you want to learn. See how it is defined.

DataGlue shows the formula: which events count, in what order, and over what time. Our team builds and checks it with you.

This is an example rule. Your event names, time limits and links are agreed in the build.

Example formula: Find an order waiting too long to leave.

Example formulaEvents → tag

Find an order waiting too long to leave.

  1. Warehouse system: order released
  2. Barcode scans: order packed
  3. Dispatch: no departure scan after 2 hours

In this order, for the same order; checked as new records arrive.

Tag created

Packed, waiting for dispatch

Use cases

Start with a question that matters.

  1. Find orders waiting for dispatch

    Join packed scans and collection times to find orders that have not left.

  2. See where picking slows down

    Compare the pick request, first scan and packed scan for each order.

  3. Trace stock through a temperature breach

    Join stock locations and sensor readings to find affected batches for review.

Sources joined

Each system adds a piece of the story.

  • Warehouse system

    Stock receipts, locations and pick lists.

  • Barcode / RFID scans

    Recorded item moves and packing steps.

  • Dispatch

    Booked collections and departures.

  • IoT sensors

    Storage temperatures and equipment events.

We agree how each source connects through your warehouse, API or the connections in your build. Person records need a shared id to join. Vehicle, shipment, machine and site tags stay on those records.

Where it goes

Send the tag where your team works.

Choose the destination. We build the route so the result can reach the tools your team already uses.

  • Staff alerts
  • Warehouse tools
  • BI dashboards

These are example destinations. The formula stays the same wherever the tag is sent.

Built with your team

Describe the outcome. We’ll join the data.

Bring one stock or dispatch question. We’ll map the scans that answer it.

Book a Call

A dedicated team builds the connections, rules and destinations with you.