Make your data work
for every decision.
We deploy predictive and prescriptive analytics to fundamentally change how organisations make decisions and allocate resources.
Most organisations collect far more data than they use. Transactions, operational events, customer interactions, sensor readings — the raw material for better decisions sits largely untapped in databases and spreadsheets.
AI and analytics unlock that value. But they do so only when the data is clean, the models are calibrated to real operational conditions, and the outputs are presented in a way that decision-makers can act on. NEXEL does not sell AI as a product. We build analytics capability as a business function: the infrastructure, the models, the interfaces, and the governance that make data-driven decision-making a daily operational reality — not an occasional insight.
Assess
Evaluate data maturity: sources, quality, governance, and existing analytical capability. Identify the highest-value analytics use cases and the infrastructure gaps that must be closed first.
Architect
Design the data infrastructure — pipelines, warehouse, data model, and governance framework — and define the modelling approach for each priority use case.
Build
Develop and validate models and dashboards in close collaboration with operational stakeholders. Iterate on outputs until they drive decisions, not just reports.
Operationalise
Deploy models into operational workflows. Train internal teams to interpret outputs, challenge assumptions, and maintain model performance over time.
Financial Performance Analytics (MIZAN Deployment)
Deployment of NEXEL's MIZAN platform: route-level, SKU-level, and unit-level profitability analytics that expose the true cost structure and margin drivers of your business.
Process Intelligence & Automation Mapping (NexMaps)
AI-powered process discovery and mapping using NexMaps — identifying automation opportunities, process variants, and compliance gaps from actual transaction data.
Demand Forecasting & Pricing Optimisation Models
Statistical and machine-learning models that forecast demand at the granularity your operational decisions require — and pricing engines that translate that signal into margin.
Fraud Detection & Risk Scoring Systems
Anomaly detection and risk scoring models — for claims, transactions, or supplier behaviour — that surface fraud and risk faster than manual review.
Executive Dashboards & Real-Time Reporting
Design and delivery of the reporting layer: from board-level scorecards to operational control towers — built on a governed data foundation and updated in real or near-real time.
AI Readiness Assessment & Data Strategy
A structured assessment of your organisation's AI readiness — data quality, infrastructure, talent, and governance — with a prioritised roadmap to build the capability sustainably.
Route profitability model identified four underperforming routes masking losses behind network-level averages — network restructuring improved EBIT by 7 percentage points.
Fraud detection model deployed on claims data — identified 12% of high-value claims as requiring investigation, recovering EGP 22M in the first year.
Demand forecasting model reduced out-of-stock events by 28% and cut perishable waste by 19% — improving gross margin by 2.1 percentage points.
Operational dashboard integrating WMS, TMS, and 3PL data gave operations leadership real-time visibility — exception management time reduced by 60%.
Outcomes are illustrative of results achieved across similar engagements.
Let's apply this to
your organisation.
Talk to a NEXEL specialist about how ai & analytics solutions applies to your specific operation and cost structure.