• Blog /
  • How does one build company‑specific AI integrations between Voxme Inventory and legacy move management platforms?

How does one build company‑specific AI integrations between Voxme Inventory and legacy move management platforms?

How does one build company‑specific AI integrations between Voxme Inventory and legacy move management platforms?
How does one build company‑specific AI integrations between Voxme Inventory and legacy move management platforms?

Counter to your intuition, it's actually straightforward! Using AI to integrate Voxme Inventory with legacy move management systems like Moveware, MoveIt Pro, EDC MoveStar Desktop, CompuMove, MoversSuite solves the most painful issues:

- no vendor involvement for any extra development

- speed of rollout

- company specific data flow

AI engines like Claude or Perplexity allow us to set up data exchange workflows between an individual company’s CRM and our inventory platform according to company’s processes. And invariably these processes produce Excel reports with surveys and jobs to dispatch to the appropriate crews and partners.

From there you build an orchestration layer to launch an AI task that turns these Excel files into jobs in our inventory and then download the data back to a computer where an automated task can be used to pick up the files and move them to an appropriate legacy system folders.

Can you set up these AI integration skills and tasks on their own? Absolutely! Those who need a helping hand can count on our assistance. Just keep in mind that we don’t get involved unless our systems are ;) Relying on a  system expertise does matter because AI isn’t cheap and it takes real working knowledge to set up the tasks in the most efficient manner.

Fair priced moving software trusted for 20 years

$300/year
+ $3 per job

Zebra printer
Zebra starter kit (optional)

$962.40 / Buy now

Zebra ZD621 printer and 1 case of labels (6 rolls per case)

Get Demo
Linkedin
Request DemoWorker

Contact us:

Head office:
28 Finch Avenue West, Unit 201,Toronto, Ontario, Canada, M2N 2G7