Laneo CRM — an order overview for complex B2B supply
How I turned a complex B2B order from one blurry status into a clear overview — goods, shipments, payment and problems on a single screen.
1. Context
Laneo is a concept B2B CRM for enterprise electronics supply, servicing offices, developers, and corporate clients.
Corporate orders are rarely linear. Dozens of line items split into partial shipments, originate from different warehouses or backorders, and follow staged payments. Typical CRMs collapse this multi-axis lifecycle into a single status like “In progress”, leaving managers blind to whether goods are reserved, shipped, or paid. When clients ask “where’s my order?”, managers must manually cross-reference data across separate tools.
I define success across three tiers:
- Business impact — higher delivery reliability, increased corporate client trust, and less friction between logistics and finance.
- Operational efficiency — faster response time to order queries, fewer systems opened per inquiry, and a higher rate of questions closed entirely within the CRM.
- User experience — managers answer clients instantly and independently, with full ownership of the order status.
2. Constraints
As a conceptual project, I set strict boundaries to reflect enterprise realities:
- Full CRM + WMS + ERP architecture: The solution operates across a complete enterprise stack. Relationships live in the CRM, physical movement in the WMS, and invoices in the ERP. The overview aggregates these three data sources into one layer without simplifying the environment.
- Add-on layer, not replacement: The Order Overview gives managers actionable client-facing context while keeping deep operational actions on dedicated entity pages.
- Strict data model preservation: Orders, shipments, invoices, and payments remain separate related entities with distinct lifecycles.
3. Desk research
Without production access, I analyzed practitioner pain points across NetSuite, Odoo, and QuickBooks discussions on Reddit, G2, Capterra, and industry post-mortems. Five systemic issues emerged:
- One status obscures complex states. Generic labels like “Pending fulfillment” blur the line between unpicked inventory and partially shipped, invoiced orders.
- Manual assembly required. Shipment and payment records do not automatically link, forcing managers to manually reconstruct order timelines.
- Logistics and finance disconnect. Invoices rarely link to specific physical shipments, complicating partial deliveries and staged billing.
- Delayed problem visibility. Issues surface only after delivery commitments are broken, preventing proactive intervention.
- Uncertainty destroys trust. Clients tolerate operational delays better than vague communication, directly impacting client retention.
The conclusion was clear: instead of compressing an order into a single status, display its core state axes and entity relationships transparently. Industry benchmarks confirmed that orders, shipments, and invoices operate as independent entities with separate lifecycles.
The same split holds one level down. A single order line carries its shipment state and its billing state separately — the axes aren’t something I invented for the overview, they’re already in the data. They’re just never gathered in one place.
4. Assumptions
- State separation: An order splits across three out-of-sync axes: availability, shipment, and payment.
- Rests on: Standard data models in ERP/OMS benchmark systems.
- Verification: Reviewing historical enterprise order logs.
- Primary scenario friction: “Where’s my order?” is the most frequent and high-friction query for account managers.
- Rests on: Account manager job requirements and support workflows.
- Verification: Helpdesk query categorization and frequency analytics.
- 12–18 minute inquiry baseline: Manual lookup across CRM, WMS, and ERP takes an estimated 12–18 minutes based on system switches and manual reconciliation.
- Rests on: Analytical task breakdown across multiple enterprise portals.
- Verification: Baseline time-motion study during product pilot.
- Partial execution as standard: Partial shipments and staged payments represent the norm in corporate procurement.
- Rests on: B2B wholesale trade practices and credit terms.
- Verification: Transactional analysis of active customer accounts.
5. Scenarios
Client on the line — “Where’s my order?” An account manager receives a call regarding a 200-line order: part is shipped, part is backordered, and only received items are paid. Under time pressure, the manager manually reconciles data across three systems. The cost of error is an inaccurate promise and damaged client trust.
Coordinating shipments with logistics. The manager needs to identify which batches are ready for dispatch and which are delayed. Because the CRM treats the order as a single block, it is unclear if a shipment completes the order. The cost of error is a delayed dispatch and missed logistics windows.
Payment conversation with finance. Resolving a disputed invoice requires matching billed amounts with received goods. Staged billing breaks basic reconciliation when payments do not equal invoice totals. The cost of error is billing friction and lost administrative time across departments.
6. Prioritization
| Scenario | Frequency | Cost per occurrence |
|---|---|---|
| Client status inquiry | High (multiple times daily) | Extended resolution time and inaccurate delivery promises |
| Logistics shipment coordination | Medium (as batches ready) | Slipped dispatches and schedule misalignment |
| Financial reconciliation | Low (disputed invoices) | Billing inaccuracies and internal friction |
I prioritized the client status inquiry. It occurs most frequently, carries the highest friction, and directly impacts customer trust. Furthermore, an overview engineered for client inquiries naturally resolves the other two scenarios: surfacing shipments, invoices, and payments on one screen provides logistics and finance with immediate operational context.
7. Problem statement
Account managers cannot answer “where’s my order” efficiently because order states are fragmented across CRM, WMS, and ERP systems, requiring manual cross-system reconciliation.
The bottleneck is not data entry or interface navigation speed — it is the manual assembly of entity relationships across disconnected systems. This is an information representation problem.
8. Solution
An order is not a status string; it is a container of related entities. Goods, shipments, invoices, payments, and exceptions belong on a unified screen so managers can answer inquiries instantly.
The order as a container of entities
Before designing screens, I mapped the entities and their lifecycles. Orders live in the CRM, shipments in the WMS, invoices and payments in the ERP. Relationships tie them together: line items form shipments, shipments assemble into packages, invoices bill shipments or orders, and payments fulfill invoices. The overview highlights these links.
Hypothesis: Presenting availability, shipment, and payment in a unified view enables managers to answer client queries without leaving the CRM.
Three axes instead of one status
The Order Overview acts as an aggregation layer across CRM, WMS, and ERP. The top section answers three core questions using three distinct axes: availability, shipment, and payment. Each axis features a progress bar with absolute and percentage values to indicate scale.
Below, related shipments, invoices, payments, and line item exceptions are exposed directly. For long orders, a problem filter isolates exception lines.
- Three axes instead of one: Splitting the status prevents details from hiding behind generic labels. Availability shows fulfillment feasibility, shipment tracks physical movement, and payment reflects financial standing.
- Early warning signals: Backorder indicators flag inventory shortages weeks before delivery dates slip, giving managers lead time to act.
To resolve payment-shipment mismatches, a dedicated matrix links each shipment directly to its corresponding invoice and payment record.
The same link from the other side
While the Order Overview answers client inquiries, dedicated entity pages handle operational deep dives.
The shipment screen focuses on physical fulfillment: line items included, units shipped, carrier details, and linked invoices.
The invoice screen provides the financial counterpart: billed amounts, payment progress, and corresponding shipments.
Status and colour
Color logic follows strict functional priority to minimize cognitive noise:
- Red: A broken commitment (overdue payment, missed delivery date).
- Amber: A commitment at risk with time to act (backorder, inventory shortage).
- Grey: Routine states, work in progress, completion, and cancellation.
Indigo is reserved exclusively outside the status system for interactive elements, links, selection states, and progress bar fills.
Status indicators use word labels for primary entities and dot-and-word combinations for sub-states down table columns.
In the order list view, priority rules dictate visibility. Full tables display lifecycle status alongside availability, shipment, and payment columns (with invoices as the zero state of payment). Compact side lists compress these three axes into a single indicator based on priority: red overrides amber, amber overrides routine progress, and cancellation overrides all.
9. Trade-offs
Client information placement
- What I chose between: A dedicated 4th column, a collapsible icon sidebar (HubSpot style), or integrating client details directly into the order header.
- What I lose: Client data loses standalone visual hierarchy and becomes secondary to order parameters.
- Why that’s okay: In order status inquiries, client data serves as contextual verification, not an active task zone. Merging it into the order header saves horizontal space while maintaining visibility.
Information density vs. visual clutter
- What I chose between: Expanding all entity sections by default versus collapsing detailed tables (shipments, payments) on load.
- What I lose: Deep itemized details require an additional click.
- Why that’s okay: Collapsed section headers present high-level summaries and highlight exceptions automatically. Clicking yields deeper details without cluttering primary status scanning.
10. How I’d measure success
- Lead success metric: Inquiry response time reduction from an estimated 12–18 minute baseline down to seconds.
- Leading operational indicators:
- Number of external applications opened per inquiry (Target: zero; all data accessible in CRM).
- Percentage of customer inquiries resolved entirely within the CRM order screen.
- Validation method: A pilot combining product analytics (session tracking from order open to close) and observational user testing on live customer support calls.
11. What’s next
Next iteration steps for production readiness:
- Pilot launch: Execute a controlled rollout to capture empirical baseline metrics and validate response time improvements.
- Edge-case & high-fidelity detail: Design comprehensive error, empty, loading, and hover interaction states against real production datasets.
- Data synchronization stress testing: Test overview performance under heavy data sync loads across CRM, WMS, and ERP endpoints.
Additionally, the refined scenario focusing on multi-axis enterprise orders represents a primary hypothesis to validate empirically against user volume during the pilot phase.
