ERP, WMS and order integration
Connect products, customers, price agreements, sales and purchase orders, inventory, warehouse progress, shipment confirmation and invoice hand-offs with explicit authority for every state.
Build a reliable digital backbone across customer ordering, ERP, product data, warehouse execution, transport, finance and reporting. ORBN designs vendor-neutral integration infrastructure that preserves useful platforms, makes ownership explicit and keeps failures recoverable.
Foodservice wholesalers rarely need one replacement platform. They need the systems already carrying commercial, warehouse and financial responsibility to exchange the right facts safely. We build the boundaries, translations and operational controls that make that possible.
Connect products, customers, price agreements, sales and purchase orders, inventory, warehouse progress, shipment confirmation and invoice hand-offs with explicit authority for every state.
Choose the simplest supported interface that meets each business need. Version schemas, validate messages, control retries and give partner-specific flows acknowledgements, correlation and traceable status.
Govern product identities, units, pack conversions, barcodes, allergens, batches, locations, customers and trading-partner mappings so business meaning is not buried inside connector code or spreadsheets.
Expose delayed, rejected, repeated and conflicting records; quarantine unsafe work; replay safely; reconcile material state and assign technical and operational owners for every production flow.
We decide which system may create or change each record and state before moving data. Two products appearing authoritative for stock, price or order status creates conflict faster, not better integration.
A technically delivered message can still be commercially rejected or operationally incomplete. Validation, acknowledgement, duplicate protection, quarantine, replay and reconciliation operate at the business-record level.
Contracts, mappings and dependencies are versioned and observable. Vendor upgrades, new channels and changing product rules can be tested against representative flows without discovering the architecture through a production outage.
Score one material interface, such as accepted orders flowing from ERP to WMS and shipment confirmation returning. A connector demonstration is not evidence until authority, data, exceptions and recovery are understood.
Every slider starts at 1 for an unproven assumption. Use current evidence, not a roadmap, product brochure or best-case demonstration.
The largest unknowns are in the operating boundary, not the integration platform. Trace one real record in both directions, verify vendor access and document the exceptions people currently resolve by hand.
This scorecard supports initial scoping. It is not a food-safety, accessibility, security, financial or regulatory assurance review.
A direct export or vendor connector can be the right answer. The problem begins when every new requirement adds another undocumented mapping, schedule and support boundary until nobody can predict which systems will disagree after a change.
ERP, WMS, ecommerce and spreadsheets can each change a product, order or stock status. Synchronisation loops overwrite valid work and nobody knows which record should win.
Pack conversions, customer codes and status translations exist as configuration or code without an accountable data owner, test set or review process.
A file transfers and a job turns green while individual orders are rejected, partially imported or accepted under the wrong unit and remain invisible until a team complains.
A timeout leaves the caller uncertain, so it resubmits an order, label or consignment without a stable business key or duplicate-safe receiver.
Each supplier can prove its product was available while the cross-system order is still missing. The wholesaler owns the operational gap without the evidence or tooling to resolve it.
A schema, authentication or status change reaches production without contract tests, representative fixtures or a dependency map showing what needs coordinated release.
Every interface participates in a wider transaction. A robust design follows the record from source authority through validation and execution to confirmation, finance and reconciliation, preserving enough evidence for the operation to explain what happened.
Receive a versioned customer, product, price, order or purchase record through a supported interface. Authenticate the caller, preserve its business key and reject structurally unsafe messages before creating downstream work.
Confirm required customer, address, product, unit, quantity, date and rule references. Apply governed partner or system mappings and report material rejection in terms an operational owner can resolve.
Use duplicate-safe submission and relate source, integration and target identifiers. Repeated delivery must return the existing result or update the permitted version rather than create a second order or movement.
Publish acceptance, hold, allocation, short, substitute, dispatch and delivery events at the latency each consumer needs. Preserve event and source time so late delivery does not rewrite operational history incorrectly.
Relate actual quantities, weights, substitutions, shipment, proof and charges back to the order and invoice process. Define what may change after warehouse execution and who approves a discrepancy.
Compare expected orders, lines, quantities and statuses across boundaries, not only message counts. Alert named owners, quarantine unsafe records and provide controlled correction, replay and audit procedures.
APIs, events, EDI, files and vendor connectors can all be appropriate. The decision depends on responsibility, timing, volume, supported access, failure behaviour and who must operate the flow for its full life.
| Method | Good fit | Material risk | Production control |
|---|---|---|---|
| Synchronous API | A caller needs immediate validation, a current record or a bounded command result | Timeout ambiguity, rate limits, partial failure and unsafe client retry | Stable business key, bounded timeout, idempotency and traceable error response |
| Event or webhook | Several consumers should react when a business state changes | Duplicate, missing or out-of-order events and silent schema drift | Versioned contract, replay, correlation, consumer idempotency and lag monitoring |
| EDI or managed transfer | Established partners exchange agreed commercial documents and acknowledgements | Partner variants, delayed acknowledgement and files accepted but not processed | Document validation, control totals, business status and partner-level audit trail |
| Scheduled file or extract | Freshness can be minutes or hours and bulk exchange is operationally sensible | Incomplete files, overlapping runs, stale watermarks and whole-batch replay | Manifest, atomic hand-off, watermarks, reconciliation and repeatable processing |
| Vendor connector | The supported product covers the real process, data and operating requirements | Opaque mappings, licence limits, feature assumptions and divided support | Representative proof, documented gaps, monitoring access and escalation ownership |
A safer integration programme proves the hardest contract and exception, then migrates flows around evidence. It does not require a big-bang platform replacement or a permanent parallel estate.
Map systems, responsibilities, records, schedules, manual work, vendor constraints, support paths and current incidents. Capture representative messages and exceptions rather than relying on architecture diagrams alone.
Use real interfaces and representative data to test authority, mapping, volume, security, duplicate delivery and failure recovery. Retire assumptions before estimating the wider rollout.
Move one customer, document, site or order class with parallel reconciliation, visible exceptions and rollback. Confirm both technical delivery and business acceptance.
Add flows around shared contracts, monitoring and runbooks. Review incidents, mapping changes, vendor releases, transaction cost and reconciliation evidence with named business and technical owners.
Crowbond Foodservice’s planning process depended on paper, spreadsheets and knowledge held by one planner. ORBN connected order data, operational constraints, optimisation and driver-ready output in a controlled application, allowing more than 200 daily orders to be planned consistently by the wider team.
Daily orders passing through the connected workflow
Reported planning time, reduced from about eight hours
Reported reduction in overall delivery cost
Reported annual saving from the operational change
These results relate to one client engagement, not a forecast for every project. Read the scope and evidence in the Crowbond route optimisation case study.
These sources inform discovery and assurance; they do not replace advice from your food-safety, accessibility, data-protection or legal specialists.
The GS1 event-sharing standard for interoperable visibility across product and asset journeys, including REST and JSON-LD support in EPCIS 2.0.
S/02A framework for critical tracking events, key data elements and interoperable traceability across organisations and technologies.
S/03UK National Cyber Security Centre guidance for protecting API endpoints, data and supporting infrastructure through their lifecycle.
It is the governed set of interfaces, data contracts, security controls, monitoring and support procedures that lets customer ordering, ERP, product data, WMS, transport, finance and analytics behave as one operation. It is not necessarily one platform or a new integration product. The design states which system owns each fact, how changes cross boundaries, what happens when data is rejected or delayed and how the business reconciles material differences.
Yes, where the products and licences provide a viable supported or controlled interface. ORBN works with APIs, webhooks, events, message queues, EDI, managed file exchange and carefully bounded legacy interfaces. We first verify documentation, environments, rate limits, data access, authentication, vendor responsibility and commercial constraints. If a source cannot expose the required business state safely, we make that limitation visible rather than promising that middleware can invent missing capability.
No. Order acceptance, cancellation, priority, warehouse exceptions and dispatch status may need low latency, while catalogue, cost or analytical data may be safely batched. Real time adds ordering, retry, load and operational complexity. We define a freshness target and stale-data behaviour for each flow, then choose the simplest supported method that meets the decision window. A reliable five-minute exchange can be better than a fragile instant one.
Options may include vendor-supported files, scheduled exports, read-only database access, change capture, UI-assisted transition or a controlled service around an existing interface. Direct database writes are treated cautiously because they can bypass business rules and break during upgrades. The design isolates legacy coupling, adds contract tests and monitoring, documents support responsibility and includes an exit path so the temporary adapter does not become an invisible permanent dependency.
Records use stable business identifiers and version rules. Receivers are designed to handle repeated delivery safely through idempotency or explicit duplicate checks, and timeouts do not automatically trigger unsafe resubmission. Stock requires a named authority and clear meanings for on-hand, available, allocated, held and in-transit. Material states are reconciled at the useful level of product, unit, location, batch, ownership and status rather than comparing only grand totals.
It can support traceability by preserving product, batch or lot, location, quantity, partner and event relationships as goods are received, moved, picked, dispatched and returned. Technology alone does not establish compliance: required records, retention, accuracy, access, recall procedures and responsibilities must be agreed with the business’s food-safety specialists. We design the interfaces and evidence trail around those requirements and test whether records remain usable through exceptions and corrections.
A bounded interface between accessible, documented systems can be proved in weeks. Wider programmes take longer when master data is inconsistent, several sites or partners differ, vendors control environments, history must migrate or cutover needs parallel running. ORBN separates discovery, the riskiest technical proof, a controlled production slice and expansion. That produces useful evidence early without pretending the first connector demonstration represents a fully operated integration estate.
The support model is agreed before release. It names first-line operational response, technical monitoring, vendor escalation, service targets, access, runbooks and the authority to correct or replay records. ORBN can operate the integration, provide retained engineering support or hand over code, infrastructure and procedures to an internal or nominated team. Business ownership remains essential because many failures require a commercial or warehouse decision, not only a technical retry.
Explore warehouse-specific order, stock, picking, dispatch and reconciliation patterns in depth.
R/02Design broader APIs, events, EDI and legacy interfaces with production-grade recovery.
R/03Turn connected system events into live, owned order and fulfilment decisions.
R/04Connect account-specific ordering directly to commercial and warehouse execution.
R/05Assess risk and choose containment, integration, incremental replacement or retirement.
R/06Compare buying, integrating and building against process fit, control and whole-life cost.
Bring one order, product, stock or shipment flow that staff currently rekey or reconcile. We’ll identify authority, interface constraints, recovery risk and the smallest safe production slice.