Multi-warehouse, multi-channel, multi-currency distribution at industrial scale.
Pricing, promotions, EDI, demand planning, route execution, customer and supplier portals — on one platform with the ERP, the warehouse and the analytics layer that consume them. Distribution operations run on the same runtime, not on three integrated stacks.
ERP + WMS + B2B Commerce, one runtime
Sales, procurement, warehouse, B2B commerce and analytics on a single platform — same data, same security perimeter, same observability.
Multi-entity, multi-currency
Distribution groups operating multiple legal entities, multiple currencies, multiple fiscal regimes — the engine handles them as a normal case, not as an exception.
Pricing and promotions at scale
Customer-specific pricing, contract-driven discounts, quantity-triggered promotions, regional variants. Audit-grade traceability on every line.
EDI and partner integration
Inbound and outbound EDI, customer and supplier portals, ASN, invoice settlement. Connectors and integration tooling are part of the platform.
What we deliver in distribution
Sales and order management
Quote-to-cash, contract pricing, allocation, backorders, split shipments, returns. Customer portal optional, EDI-first by default.
Procurement and supplier
Vendor master, RFQ, purchase orders, three-way match, supplier portals, contract life-cycle, vendor compliance.
Warehouse execution
The full Logistics & WMS practice (see Industries → Logistics) — inbound, inventory, outbound, automation.
Demand planning
Statistical forecasting, replenishment planning, safety-stock optimisation, ABC and slow-mover analysis.
Pricing and promotions engine
Customer-specific price lists, contract discounts, promotional discount engines, audit-grade pricing history.
Analytics and AI
Real-time dashboards, OLAP cubes, and governed AI assistants for natural-language analysis of operational data — applied to forecasting, replenishment and margin recovery.
What changes when distribution runs on one platform
Distribution is the industry that most clearly exposes the cost of fragmented enterprise stacks. Pricing lives in one system, inventory in another, demand planning in a third, the customer portal in a fourth. Reconciliation is constant; latency is structural; AI sits on top of inconsistent data.
Airtool collapses the stack. Sales, procurement, warehouse, B2B commerce, pricing, planning and analytics run on the same platform, against the same data, under the same security perimeter. Distribution decisions can be automated by AI agents that read the same record the operator reads — because there is only one record.