PRICING
Priced in rupees and dirhams, not someone else’s dollars.
A WMS should cost less than the leakage it stops. We scope the first workflow, integration requirements and implementation plan with your team, measure the result against your own invoices, and quote to how you actually run — warehouses, order volume and client mix, in the currency your clients pay you in.
01 · THE SCOPING
One warehouse, your real rate cards
- One facility, your actual clients, the rate cards you already bill from — no sandbox data, no toy SKUs
- We scope the first workflow, integration requirements and implementation plan with your team
- Stages named, not dated: Discover · Design and configure · Validate · Implement and expand
- Success is a number: events Binsy captured versus what your current invoices billed. The gap is your leakage
02 · THE SYSTEM
Quoted to how you actually run
- What moves the number: warehouse count, monthly order volume, client mix and the rate cards you bill from — not seats, not modules, not surprise add-ons
- Quoted in the currency your clients pay you in, for India and GCC operators — not converted from a US price list
- Client-level segregation, billable-event capture and per-client rate cards are the spine of the product, not an upsell
03 · THE FAMILY
Binsy, by AggAiLabs
- Built by AggAiLabs, the team behind the FreighAI platform and its operating desks
- Forwarders running a warehousing arm connect the floor to their freight operation through freigh.ai
- The invoices Binsy assembles have a collections side too — receivables-ai picks up where the billing events end
Exact numbers need your floor.
Warehouse count, order volume, client mix and rate cards set the number. Bring last month’s invoices to a thirty-minute session and leave with a written quote — in rupees or dirhams.
Get a written quote