Contract Logistics Design-to-Cost Engine
Price the operation before it becomes a loss.
Consodes helps logistics service providers, solution design teams and business development teams calculate operational costs, implementation effort and pricing scenarios before go-live.
A vertical AI engine for RFQ analysis, operational assumptions, cost-driver modelling and proposal-ready outputs.
- AI-assisted
- Human-approved
- Learns
- From every tender
- Private
- Your data stays yours
Contract logistics projects often lose margin before they go live.
Customer RFQs arrive incomplete, inconsistent and difficult to compare. Teams estimate assumptions, labour, space, equipment, IT and implementation effort under time pressure. If those assumptions are wrong, the operation becomes unprofitable after go-live. And when experienced people leave, their pricing intuition leaves with them.
| Pain point | Business impact | Consodes response |
|---|---|---|
| Missing RFQ data | Weak operational assumptions before pricing. | AI data-gap detection with drafted clarification questions. |
| Underestimated cost drivers | Labour, space, equipment and IT costs missed. | Anomaly detection against your historical patterns. |
| Unpriced implementation | Training, UAT, go-live and hypercare effort ignored. | One-time implementation cost calculation. |
| Inconsistent pricing | Similar projects priced differently by different teams. | AI-assisted assumptions grounded in your validated history. |
| Hidden cost drivers | Discovered too late, after terms are committed. | AI margin risk review before proposal submission. |
| Evaporating know-how | Pricing intuition leaves when experienced people leave. | Self-learning benchmark memory, private to your workspace. |
Built around the real workflow of logistics service providers, powered by AI that learns from your data.
From raw RFQ intake to proposal-ready outputs, with visible assumptions, resources, cost drivers and an AI layer that gets sharper every tender.
Connect Data Sources
Designed to connect with ERP/WMS sources during MVP and pilot implementation, so customer files, questionnaires, SKUs, order profiles and SLA documents land in one structured, comparable workspace.
AI Data-Gap Detection
Surface missing, inconsistent or high-risk information before costing begins, and draft clarification questions ready to send.
AI-Assisted Assumption Builder
AI suggests starting values from your validated history for storage, labour, productivity, VAS, returns and implementation. Every expert adjustment makes the next suggestion better.
Resource Model
Translate operational volumes into labour hours, team structure, equipment requirements, space needs and operational capacity.
Project Costing with Anomaly Detection
Monthly operating costs and one-time implementation costs, with AI flagging cost lines that fall outside your historical patterns.
Pricing Scenarios
Transparent competitive, balanced and service-protection scenarios based on operational logic, resources and target margin.
AI Margin Risk Review
Identify unpriced cost drivers, ramp-up inefficiency and go-live risks by comparing the deal against how similar past projects actually performed.
Self-Learning Benchmark Memory
Historical tenders, won/lost outcomes and post-go-live performance become living commercial intelligence - private to your workspace.
Proposal Output
Produce consistent proposal content in your agreed format: scope, assumptions, cost logic, risks, exclusions and open questions.
An engine that learns your operations.
Most costing tools are static: the logic they ship with is the logic they keep. Consodes is built around a learning loop - your commercial judgement becomes institutional knowledge instead of individual memory.
Learn from your documents
AI reads RFQs, Excel files, PDFs, questionnaires and SKU masters, extracts the operational signal and structures it - so your team starts from organised data, not raw files.
Learn from your decisions
Every assumption your experts adjust, every clarification they add and every scenario they approve teaches the platform how your organisation prices operations.
Learn from your outcomes
Won and lost tenders, actual productivity and realised margins flow back into your benchmark memory. The gap between priced and actual is what the next costing learns from.
Explainable by design
Every AI suggestion links back to a data input, assumption, benchmark or risk flag. Nothing reaches a customer without human approval.
Private by design
Learning happens inside your workspace only. Your tenders, benchmarks, costs and outcomes train models for you alone. No cross-customer data sharing, ever.
An intelligent workflow from RFQ intake to project costing.
- 01
Connect Your Source
Consodes is designed to link with ERP or WMS sources during MVP and pilot implementation, so RFQs, SKU masters, order profiles, SLA documents and historical benchmarks are structured and validated in one place.
- 02
AI Data Quality Review
Consodes identifies missing fields, inconsistent volumes, unclear service levels and unrealistic assumptions - and drafts the clarification questions.
- 03
Build Assumptions, AI-Assisted
AI proposes starting values grounded in your validated benchmarks; your experts confirm or adjust, and the system learns from every adjustment.
- 04
Calculate Project Cost
Labour, warehouse, equipment, IT, packaging, overhead, implementation, UAT, training, go-live and hypercare, with anomaly detection on outliers.
- 05
Compare Pricing Scenarios
Competitive, balanced and service-protection scenarios with visible cost drivers, margin impact and risk markers, informed by past performance.
- 06
Export Proposal Content
Scope, assumptions, exclusions, open questions, implementation timeline, risk notes, pricing summary and commercial decision support.
“Consodes does not replace commercial judgement. Every AI recommendation is explainable, traceable to your data, and subject to human approval.AI does the heavy lifting; your people make the call.”
For the teams who own the tender.
Logistics Service Providers
Win tenders with more reliable project costing and margin protection, backed by AI that has learned from your own tender history. For 3PLs, fulfilment providers and warehouse operators.
Contract Logistics Teams
Design executable operations before go-live by connecting RFQ data with resource planning, implementation cost and pricing scenarios.
Solution Design Teams
AI captures how your best designers build assumptions and makes that knowledge available to the whole team - reducing dependency on spreadsheets and individual memory.
Business Development Teams
Respond faster to tenders with AI-prepared data, stronger pricing logic, clearer exclusions and proposal-ready outputs.
Commercial Directors
Improve pricing governance, approval visibility and margin protection - with an audit trail behind every AI-assisted number.
Head of Solution Design · Tender / Bid Manager · Commercial Director · Business Development Director · Contract Logistics Director · General Manager · Operations Excellence · Logistics Engineering
Designed for logistics service providers and contract logistics workflows.
Once proven in contract logistics project costing, Consodes can extend into e-commerce fulfilment, warehouse automation, intralogistics and broader solution design workflows.
Not a generic proposal tool. Not a static calculator. A self-learning project costing engine.
Most proposal tools help teams write faster. Most costing tools apply the same fixed logic to every deal. Consodes helps logistics teams cost, structure and price operations more accurately - and gets more accurate the more you use it.
Contract logistics-specific AI
Models built around RFQ intake, assumptions, resource modelling, project costing and pricing governance - not a generic chatbot bolted onto a spreadsheet.
Private benchmark-learning loop
The product roadmap is built around a private benchmark-learning loop, where tender outcomes and actual performance data improve future assumptions - inside your workspace only.
Explainable AI, governed decisions
Every recommendation links back to a data input, assumption, benchmark or risk flag. No black-box final pricing.
Human-in-the-loop by design
AI prepares, suggests and flags; your people approve. Commercial judgement stays with your team.
Project cost visibility
Recurring operating costs and one-time implementation costs surfaced together before go-live.
Private learning
Your data trains your workspace only. Competitors never benefit from your intelligence.
Pricing built around your tender workflow.
Subscription plus a one-time setup phase to configure benchmark data, pricing templates, proposal formats, project costing logic and internal approval workflows. Because the platform learns from your data, setup is where your private benchmark memory is first structured.
Professional
Mid-sized providers, tender, solution design & business development teams
Includes 5 active RFQs & up to 10 users
- Multi-user workflow
- AI data-gap detection & assumption suggestions
- Project costing
- Pricing scenarios
- Self-learning benchmark comparison
- Custom templates & proposal output
- Approval support
- Additional active-RFQ packs available
Enterprise
Large 3PLs & multi-site enterprise contract logistics operations
- Unlimited active RFQs
- Private workspace with dedicated data isolation
- Integrations
- Advanced benchmarking & learning across business units
- Approval workflow & governance dashboard
- Custom setup & training
Every plan starts with a paid 8–12 week pilot (USD 5,000, credited against the annual subscription) and a one-time setup phase covering benchmark-data structuring, pricing templates and proposal formats. Annual billing includes a 10% discount.
A secure, isolated environment for your most sensitive commercial data.
Contract logistics tenders contain confidential customer, cost, resource, pricing and implementation information. Consodes is designed around data isolation, controlled access and transparent AI behaviour.
A concise Data & Security Architecture one-pager is available on request for evaluation, procurement and investor due diligence.
- Private customer workspaces with strict data isolation
- Your data trains only your workspace - no cross-customer model sharing
- Encryption in transit and at rest
- Role-based user access and permission controls
- Clear data retention and deletion rules - your data stays yours
- Human approval before any commercial output leaves the platform
- No black-box final price automation
- Full audit trail behind every AI-assisted recommendation
Isolated per-customer workspace
Each customer runs in a logically isolated workspace with dedicated data boundaries. Benchmarks, tenders and outcomes never cross workspaces.
Encryption & access controls
Data is encrypted in transit and at rest using industry-standard providers. Access is role-based, auditable and scoped to the workspace owner.
No cross-customer training
Your data is not used to train shared or third-party models. AI outputs are explainable, traceable and require human approval before leaving the platform.
Crafted by people who have priced warehouses. Sharpened by AI that learns every operation.
Consodes was created from hands-on experience in warehouse implementation, 3PL tender management, operational solution design, business development, project costing and pricing governance. It uses AI to turn fragmented logistics know-how into living commercial intelligence - a governed, self-improving costing capability that grows with every tender your team runs, inside an environment built for confidential commercial data.
See Consodes with a real RFQ-to-project-costing workflow.
The best way to understand Consodes is to compare your current manual spreadsheet process with an AI-assisted RFQ-to-solution-design-to-project-costing workflow, on a real or anonymised RFQ.
- Read and structure raw RFQ data automatically
- Identify missing operational & costing information
- Generate clarification questions
- Suggest operational assumptions from benchmark data
- Calculate resource requirements & project cost
- Create pricing scenarios & margin risk views
- Compare benchmarks and flag anomalies
- Export proposal-ready content
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