Get a clean, reproducible mathematical optimisation model for your supply chain, logistics, or operations challenge — built in Python, R, Excel VBA, or Julia with full source code and actionable insights.
I Will Optimise Your Supply Chain and Logistics Operations
Small-scale linear or integer optimisation model with 1–2 scenarios solved using open-source solvers.
- 1 linear or integer optimisation model (small-scale)
- 1–2 scenarios solved with open-source solvers
- Research, data preprocessing and model creation
- Model validation and testing
- Full source code included (Python, R, Excel VBA, or Julia)
- Delivered via Jupyter notebook or script
More complex optimisation model with performance monitoring and formal model documentation.
- Everything in Starter, at greater model complexity and scope
- Performance monitoring: model behaviour analysed across conditions
- Formal model documentation for team handover
- Research, data preprocessing, model creation and validation
- Full source code in your chosen language
- Suitable for LP/MILP, scheduling, routing or capacity planning problems
Full-scope optimisation engagement with fine-tuning, documentation, and performance monitoring for production-ready results.
- Everything in Standard, with extended scope and depth
- Fine-tuning to sharpen solution quality and optimise performance
- Performance monitoring and thorough model documentation
- Suitable for multi-objective, heuristic, or dynamic programming challenges
- End-to-end support from formulation to final validated solution
- Industry-ready code with sensitivity and cost analysis where applicable
Request a Custom Offer
Log In to Request a Custom Offer
Create a free account or log in to request a personalised offer from this Zinner.
Log In / RegisterAsk a Pre-Sale Question
Log In to Ask a Question
To reduce platform spam, pre-sale messages can only be sent by logged-in users.
Create a free account or log in to message this Zinner directly.
Log In / RegisterAt a Glance
Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Modelling Approach
Deliverable Format
Solvers Used
Best For
What You'll Receive
Full Description
If your supply chain, logistics network, or operations are costing more than they should — or you simply need a smarter, data-driven way to make decisions — this service delivers the rigorous mathematical modelling to get you there.
Zinn Digital, based in London, specialises in mathematical optimisation and supply chain analytics. The work goes well beyond plugging numbers into a formula: every model is formulated to reflect the real constraints and trade-offs in your business, solved with appropriate open-source or commercial solvers, validated thoroughly, and delivered as clean, industry-ready code you can actually use.
**What is included across all tiers:**
- Research into your specific problem and domain context
- Data preprocessing and cleaning so the model is fed reliable inputs
- Full model creation — Linear Programming (LP), Mixed Integer Linear Programming (MILP), scheduling, capacity planning, workforce optimisation, multi-objective formulations, heuristics, or dynamic programming as the problem demands
- Model validation and testing to confirm the solution is robust
- Full source code delivered in Python, R, Excel VBA, or Julia — your choice
**Larger tiers additionally include:**
- Performance monitoring so you understand how the model behaves under different conditions
- Formal model documentation making the work transferable to your wider team
- Fine-tuning to sharpen solution quality and push performance further
**Typical problems solved here include:**
Inventory optimisation, vehicle routing and last-mile logistics, warehouse flow, multi-echelon network design, workforce scheduling, production planning, cost-efficiency trade-off analysis, and sensitivity analysis to quantify risk.
**Who this is for:**
Operations managers, supply chain analysts, data teams, consultancies, and founders who need a technically sound optimisation solution but do not have in-house OR (operations research) expertise. This service is equally suited to those validating a concept with a small model and those who need a fully documented, performance-monitored solution ready to hand to a development team.
**How it works:**
After you place your order, share your data, problem description, and any constraints via the order chat. If anything is unclear, the team will follow up before work begins. You receive clean, reproducible code and results — not just equations — with a clear explanation of what the model is doing and why.
Please message before ordering if your problem is unusually complex or involves large-scale data, so scope and timelines can be confirmed upfront.
Zinner Quality Guarantee
Every Zinner is reviewed and approved before joining the platform.
All services are backed by our quality assurance commitment.
Your payment is protected until you approve the delivered work.
Compare Packages
| Feature | Starter | Standard | Premium |
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
| Revisions | 2 | 2 | 2 |
| 1 linear or integer optimisation model (small-scale) | ✓ | ✕ | ✕ |
| 1–2 scenarios solved with open-source solvers | ✓ | ✕ | ✕ |
| Research, data preprocessing and model creation | ✓ | ✕ | ✕ |
| Model validation and testing | ✓ | ✕ | ✕ |
| Full source code included (Python, R, Excel VBA, or Julia) | ✓ | ✕ | ✕ |
| Delivered via Jupyter notebook or script | ✓ | ✕ | ✕ |
| Everything in Starter, at greater model complexity and scope | ✕ | ✓ | ✕ |
| Performance monitoring: model behaviour analysed across conditions | ✕ | ✓ | ✕ |
| Formal model documentation for team handover | ✕ | ✓ | ✕ |
| Research, data preprocessing, model creation and validation | ✕ | ✓ | ✕ |
| Full source code in your chosen language | ✕ | ✓ | ✕ |
| Suitable for LP/MILP, scheduling, routing or capacity planning problems | ✕ | ✓ | ✕ |
| Everything in Standard, with extended scope and depth | ✕ | ✕ | ✓ |
| Fine-tuning to sharpen solution quality and optimise performance | ✕ | ✕ | ✓ |
| Performance monitoring and thorough model documentation | ✕ | ✕ | ✓ |
| Suitable for multi-objective, heuristic, or dynamic programming challenges | ✕ | ✕ | ✓ |
| End-to-end support from formulation to final validated solution | ✕ | ✕ | ✓ |
| Industry-ready code with sensitivity and cost analysis where applicable | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.

Optimise Your Supply Chain and Logistics Operations


Optimise Your Supply Chain and Logistics Operations

Extra Information
Why Choose Me
Tools I Use
Perfect For
Frequently Asked Questions
The Starter tier suits small, well-defined problems with one or two scenarios — for example, a single-depot routing problem or a basic inventory model. The Standard tier suits more complex formulations requiring monitoring and documentation. The Premium tier is for large-scope or multi-objective problems where fine-tuning and full documentation are essential. If you are unsure, send a message before ordering and the team will advise.
You will need to share your dataset (spreadsheet, CSV, database export, or similar), a clear description of the problem you are trying to solve, and any constraints or business rules that must be respected. The more context you can provide, the more accurate and useful the model will be. If anything is missing, the team will follow up via order chat.
The model can be delivered in Python, R, Excel VBA, or Julia — whichever you prefer or already use within your team. Please specify your preference when submitting your requirements.
Before delivery, the model is tested against your data to confirm it produces feasible, logical solutions, handles edge cases correctly, and behaves as expected when inputs change. This step ensures you receive a robust result rather than a model that only works under ideal conditions.
Documentation covers the mathematical formulation, the assumptions made, variable and constraint definitions, and guidance on how to update or extend the model. This makes the work transferable to colleagues or developers who were not part of the original engagement.
Fine-tuning involves iterating on the model after initial validation — adjusting solver parameters, constraint tightening, objective weighting, or heuristic design — to improve solution quality and computational performance. It is particularly valuable for large or complex problems where the first feasible solution is rarely the best one.
Yes — cloud deployment is available as an optional add-on. Please add it to your order or discuss requirements via order chat before purchasing, so the correct environment and scope can be confirmed.
You will be asked to share your project details and data via the order chat. The team reviews your submission and may follow up with clarifying questions before work begins. You will receive updates through the order manager and the final deliverables — code, notebooks, and any reports — via the same channel.
Customer Reviews
See what our customers say about this Zinn
Very helpful and quick to respond.
Amazing work, he is the best on Zinn Hub! Professional, kind and clever. Thank you so much!
Mehreen M has truly impressed in the realm of data analytics! Her meticulous attention to detail and professionalism EXCEEDED our expectations. Not only did she deliver promptly, but her proactive communication and politeness made working with her a joy.
She's the best on Zinn Hub! Amazing quality work, great communication. Professional and kind, thank you so much!
very good work
Only logged in customers who have purchased this product may leave a review.








