Solutions
One model, several shapes of operation.
ATLAS does not ship a different product per industry. The same graph covers these operations because the concepts that vary — service level, handling class, supplier lead time, return disposition — are modelled as data rather than assumptions.
- Customer segments
- 5
- SMB, Mid Market, D2C, Marketplace, Enterprise
- Warehouse types
- 5
- National DC to dark store
- Carrier types
- 6
- Express to own fleet
- Handling classes
- 5
- Ambient to high value
- Accounts modelled
- 324
- 3.8K orders
Fit
Where it lands.
Third-party logistics
Run many clients across shared sites and a mixed carrier base, and prove service against each contract.
3pl
- Per-customer SLA hours drive the promise on every order, not a single network default
- Carrier scorecards measured against each carrier’s own contracted target
- Carrier bill reconciliation against the rate card that priced the movement
- Cost per shipment, per order and per kilogram, so cost-to-serve is defensible
Direct-to-consumer fulfilment
High order counts, small consignments, tight delivery windows and a return rate that has to be managed.
D2C
- Dark stores and fulfilment centres modelled alongside national DCs
- Same-day and next-day service levels with booking cut-offs
- Last-mile board with delivery windows, failed attempts and reschedule context
- Reverse logistics from pickup through inspection to disposition and refund
Marketplace operations
Orders arriving from a storefront, fulfilled across a network, with status flowing back to the shopper.
Marketplace
- Orders carry a source system and a source reference from the originating platform
- Commerce integration flow modelled inbound for orders and outbound for fulfilment
- Cash on delivery tracked per consignment and reconciled in the finance ledger
- Customer 360 that includes support, CRM activity and SLA history
Industrial distribution
Fewer, larger consignments; long lead times; supplier performance that matters more than speed.
Industrial
- Supplier scorecards on OTIF, realised lead time, fill rate and receiving defects
- Purchase orders with line-level receipt and rejection quantities
- Quality checks with sampling size, defect count and pass, partial or fail outcome
- Heavy freight and full-truckload service levels with weight ceilings
Cold chain and regulated goods
Storage class matters: a SKU can only live in a zone that can hold it.
Cold Chain
- Handling classes — ambient, cold chain, hazmat, fragile, high value — constrain zone eligibility
- Temperature-controlled zones with a recorded set point
- Secure cage and hazmat zones separated from general reserve storage
- Serialised SKUs flagged at the item master
Honest scope
What you would still have to build.
ATLAS is a front end over a demo dataset. Taking it to production means supplying the parts it deliberately leaves out.
- Authentication, sessions and server-side authorisation
- A persistence layer and the write paths that mutate it
- Real carrier, payment, CRM, ERP and mapping connectors
- Event ingestion for live carrier scans and telematics
- Route optimisation beyond the built-in nearest-neighbour plan
- Document and media storage for labels, PODs and claims
See whether the model fits your operation.
Every concept above is visible in the console — open it and look at the records directly.