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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Modelling Approach

LP, MILP, Heuristics & DP
Models are formulated to your specific constraints - not off-the-shelf templates. Covers linear, integer, multi-objective, and dynamic programming as needed.

Deliverable Format

Reproducible Source Code
You receive clean, runnable code in Python, R, Julia, or Excel VBA - plus a Jupyter notebook or script - not just a report or equations.

Solvers Used

Open-Source & Commercial
Uses proven solvers including CBC, GLPK, and HiGHS via Python and R interfaces. Commercial solver options available for performance-critical problems.

Best For

Operations & Supply Chain Teams
Ideal for operations managers, supply chain analysts, data teams, and consultancies needing rigorous OR expertise without hiring a full-time specialist.

What You'll Receive

Formats:
Source Files
Written Report
Other
Delivery Method:
Order Manager
Notes: Deliverables are provided via the order manager. You will receive clean, reproducible source code in your chosen language (Python, R, Excel VBA, or Julia), along with a Jupyter notebook or equivalent script. Standard and Premium orders additionally include a written model documentation report. All files are organised and labelled for immediate use.

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.

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Compare Packages

FeatureStarterStandardPremium
Delivery Time3 days7 days14 days
Revisions222
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

Business-Focused Results:Outputs are explained in plain business terms, not just equations — so you can act on the findings immediately.
End-to-End Support:From problem formulation and data preprocessing through to model validation and final delivery, everything is handled in one engagement.
Flexible Delivery Formats:Receive your solution as a Jupyter notebook, standalone script, or Excel workbook — whichever fits your workflow.
Based in London, England:UK-based expertise in supply chain analytics, operations research, and AI methods.

Tools I Use

Programming Languages:Python, R, Julia, Excel VBA
Optimisation Methods:Linear Programming (LP), Mixed Integer Linear Programming (MILP), Multi-Objective Optimisation, Heuristics, Dynamic Programming, Sensitivity Analysis
Solvers:Open-source solvers (e.g. CBC, GLPK, HiGHS) and solver interfaces available in Python and R

Perfect For

Ideal Clients:Operations managers needing cost reduction models, Supply chain analysts building routing or inventory solutions, Data teams requiring reproducible OR code, Consultancies seeking white-label optimisation work, Founders validating operational models
Typical Problems:Inventory optimisation, Vehicle routing and last-mile logistics, Warehouse flow planning, Workforce scheduling, Production and capacity planning, Multi-echelon network design

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

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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

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