Industries - Logistics & Supply Chain
Every handover is a place where the data stops.
Logistics software only helps when the handovers hold. Order intake, warehouse management, dispatch, POD and freight invoicing usually sit in different systems, so service issues surface late and cost-to-serve is an estimate. We work across TMS, WMS, ERP and EDI integration for transport, warehousing, 3PL and freight operations so exceptions and reconciliation are handled by the system rather than by memory.
At a glance
- Typical profile
- Third-party logistics, freight, warehousing and supply chain operations with real volume.
- Most common constraint
- Order data quality at intake and exception handling by email.
- Where we usually start
- Order normalisation, exception workflow and carrier invoice matching.
Operating model
Commitment to reconciliation.
Nine stages. Cost accumulates in the middle and is only visible at the end.
Nine connected stages from commitment to reconciliation. Delivery exceptions and proof-of-delivery gaps are handled as a designed branch, and cost-to-serve returns to pricing.
- 01
Customer order and commitment
CRM / order desk · Order, booking
Orders and consignment instructions arriving through portals, EDI, email and spreadsheets, each carrying different data quality.
- 02
Demand and capacity planning
Planning · Capacity plan
Matching forecast volume against labour, space and transport capacity, usually with information that is a week behind reality.
- 03
Procurement and inbound
Procurement · Purchase order
Purchase orders, supplier confirmations, shipping documents and expected arrival dates that rarely survive contact with the actual schedule.
- 04
Receiving and putaway
Warehouse (WMS) · Receipt
Goods checked, costed and located. Accuracy here determines whether every downstream promise is real.
- 05
Inventory and warehouse control
Warehouse (WMS) · Stock position
Stock by location, batch and ownership, plus the cycle counting discipline that keeps the number trustworthy.
- 06
Pick, pack and despatch
Warehouse (WMS) · Consignment
Order execution where labour cost per line either gets measured or disappears into overhead.
- 07
Freight and delivery
Transport (TMS) · Delivery, POD
Carrier allocation, tracking, proof of delivery and the exceptions that consume disproportionate service time.
- 08
Invoicing and reconciliation
Finance (ERP) · Freight invoice
Customer invoicing, carrier invoice checking and claims - where the difference between quoted and actual cost-to-serve finally appears.
- 09
Reporting and exception review
Finance / operations · Cost-to-serve
Service levels, dwell time, cost per order and recurring failure patterns reviewed often enough to act on.
Delivery exception
Failed delivery, short shipment or a missing proof of delivery routes to a person with the consignment context attached, instead of surfacing weeks later as a disputed invoice.
Reconciled freight cost, rework and exception volume return to pricing and customer profitability so the true cost of serving each account is visible.
Event visibility depends on what each carrier and system actually publishes. Not every status is available in real time, so the model is designed around confirmed events rather than assumed ones.
Systems landscape
What the estate usually looks like.
A warehouse system that does not talk to finance
Movements are recorded operationally but valuation, accruals and cost allocation are reconstructed in spreadsheets.
Carrier portals as the tracking system
Status lives in each carrier's website, so customer service checks three portals to answer one question.
EDI handled as a series of one-off mappings
Each trading partner integrated differently, with no shared monitoring, so failures are discovered by the customer.
Exceptions managed in email
Short shipments, damages, redeliveries and claims run through inboxes, leaving no measurable record of what went wrong or how often.
Cost-to-serve calculated annually, if at all
Without freight, handling and labour attributed per order or customer, pricing decisions are made on gross margin alone.
Constraints
Five constraints that cap logistics performance.
01Order data quality at intake
Incorrect addresses, missing references and unmapped product codes create rework at every subsequent stage. Fixing intake is cheaper than fixing consequences.
02No single view of order status
When operations, customer service and finance each read a different system, someone spends their day reconciling instead of managing.
03Exception handling with no workflow
Delivery failures and claims handled ad hoc take longer, cost more and never accumulate into evidence you can use with carriers.
04Inventory accuracy drift
Without cycle counting and disciplined movement recording, availability becomes a guess and safety stock becomes the workaround.
05Carrier invoices accepted without checking
Rate, surcharge and dimensional discrepancies are common. Unmatched invoices are pure margin leakage.
Automation
Automation that reduces rework and recovers cost.
Exception handling and invoice matching usually pay back before any large platform change.
| Opportunity | What changes |
|---|---|
| Order intake normalisation | Orders from EDI, portal, email and spreadsheet validated and mapped into one queue, with exceptions raised before they reach the floor. |
| Status and milestone notifications | Automatic updates at despatch, in transit and delivery, which removes a large share of inbound status enquiries. |
| Exception workflow | Failed deliveries, damages and shortages routed as structured cases with owners and timeframes rather than as email threads. |
| Carrier invoice matching | Freight invoices reconciled line by line against consignments and rate cards, with variances flagged for recovery. |
| Replenishment and inbound alerts | Purchase order milestones and late-inbound warnings surfaced early enough to re-plan rather than react. |
| Cost-to-serve reporting | Handling, freight and labour attributed to order and customer, making pricing and account decisions evidence-based. |
Architecture
One operational truth, many participants.
ERP and warehouse systems should own
Movement and cost
- Inventory by location, batch and owner
- Receiving, putaway and cycle counting
- Pick, pack, despatch and consignment
- Purchasing, landed cost and valuation
- Invoicing, accruals and reconciliation
CRM, portals and integration should own
Commitment and communication
- Customer accounts, rates and service terms
- Order capture across every channel
- Status visibility and notifications
- Exception cases, claims and credits
- Service level and cost-to-serve reporting
Where we start
Movement, exceptions and cost-to-serve are only manageable when every handover leaves a record.
We start with the operating model, then choose platforms against it. If the model does not need a capability, we do not licence it.
Practical AI
Where AI fits a logistics operation.
High-volume unstructured documents and pattern detection, both cheap to verify.
Reading unstructured order and shipping documents
Orders, packing lists and delivery dockets converted into structured data with confidence scoring and a human review queue.
Address and product data cleansing
Matching messy customer-supplied addresses and product references against known records, learning from prior corrections.
Exception prediction
Flagging consignments with characteristics that historically precede delays or failures, while intervention is still possible.
Customer enquiry drafting
Status and ETA responses composed from live operational data for a person to review and send.
Platform roles
Which system should own which job.
Odoo where inventory and finance should share one system
Warehouse operations, purchasing, landed cost and accounting in one platform suits operators tired of reconciling two versions of stock.
EDI and integration as the connective layer
Trading partner feeds, carrier connections and customer portals need consistent mapping and monitoring rather than individual point solutions.
Zoho for account management and service cases
Customer relationships, service enquiries and exception cases benefit from a CRM and service desk that reads operational status without owning it.
Analytics over operational data
Service level, dwell, throughput and cost-to-serve reported from the systems of record rather than assembled monthly.
Implementation
Four things that decide the outcome.
01Master data first
Products, units, dimensions, locations and customer references determine whether anything downstream works. This is the least glamorous and most decisive part of the project.
02Cut over around a verified stock position
Going live on an unverified opening inventory undermines every number the new system produces in its first quarter.
03Integrate trading partners in waves
Bringing every EDI partner across at once concentrates risk. Sequence by volume and by the quality of their data.
04Floor process before floor technology
Locations, pick paths and putaway logic need to be agreed before scanning hardware arrives, or you automate the current disorder.
Logistics systems questions we are asked most
- Do we need a TMS, a WMS, or an ERP?
- They solve different problems. A warehouse management system governs receiving, putaway, picking and stock accuracy. A transport management system governs allocation, dispatch, POD and freight cost. ERP holds orders, inventory ownership and finance. Most Australian operators end up with two of the three plus EDI, so the design question is which system owns each event and how exceptions are reconciled.
- Do we need a full WMS, or can ERP inventory handle our warehouse?
- It depends on movement complexity. Single-site operations with moderate volume are often well served by ERP inventory with locations and scanning. Multi-zone picking, wave planning, labour management and third-party logistics billing usually justify dedicated warehouse capability alongside ERP.
- How do we get useful cost-to-serve reporting?
- By attributing freight, handling and labour to the order rather than to the period. That requires capturing carrier cost per consignment and touch time per order, which is a design decision made before implementation rather than a report built afterwards.
- Is EDI still relevant, or should we use APIs?
- Both, usually. Large trading partners often mandate EDI, while newer channels expose APIs. The important thing is a single integration layer with shared mapping, monitoring and error handling rather than a different approach per partner.
- Our carriers each have their own portal. Can that be consolidated?
- Consignment and tracking data can generally be brought into one operational view through integration, subject to what each carrier exposes. We would confirm available connections during discovery rather than assume them.
- Where should we start if everything needs attention?
- Usually order intake normalisation and exception workflow. Both reduce rework immediately, produce measurable data about failure causes, and do not require a platform decision first.
Where to go next
Pick one week of exceptions and count what they cost.
Failed deliveries, shortages and unmatched freight invoices usually add up to the business case on their own.