Supply Chain Intelligence

Turn supply chain risk into operational advantage.

Supply Chain Intelligence Dashboard

Demand SensingInventory OptimisationDisruption Response

DEMAND VS SUPPLY VARIANCE

Supplier lead time variance detected in Tier 2 network. Review recommended.

$1.7 Trillion

LOCKED IN EXCESS INVENTORY

Locked in excess inventory globally due to poor real-time data

McKinsey Global Institute

19%

SCENARIO PLANNING ADOPTION

Only 19% of supply chain organisations fully integrate scenario planning into their strategy

Gartner

10%

REVENUE AT RISK

Supply chain disruptions cost the average enterprise 5 to 10% of annual revenues

World Economic Forum

70%

AI ADOPTION BY 2030

Gartner predicts 70% of large organisations will adopt AI-based supply chain forecasting by 2030

Gartner

OUR APPROACH

Running supply chain on spreadsheets is no longer a risk worth taking.

There is a version of supply chain operations that most enterprises are still running. Demand plans built monthly, inventory buffers carried to absorb uncertainty that better planning would eliminate, and disruptions managed after the customer has already felt the impact.

We help organisations build a different operating model — one where demand signals flow continuously from point of sale through to production and procurement, inventory positions are optimised dynamically, and the supply chain team spends its time on decisions rather than firefighting.

BEFOREAFTER

BEFOREMonthly demand plans built on lagged data

→

AFTERContinuous signal-driven demand forecasting

BEFOREInventory buffers absorbing planning uncertainty

→

AFTERDynamically optimised inventory positions

BEFOREDisruptions managed after customer impact

→

AFTERRisk detected and acted on before failure

BEFORESupply chain as cost centre

→

AFTERSupply chain as competitive advantage

CORE CAPABILITIES

Built for the full complexity of modern supply chains.

Six focused capability areas, each designed around the problems supply chain leaders actually lose sleep over.

AI-Driven Demand Forecasting

We implement machine learning models that incorporate POS data, market signals, weather patterns, economic indicators, and promotional calendars, producing forecasts that are materially more accurate than consensus-based planning.

Inventory and Working Capital Optimisation

We build integrated inventory models that dynamically calculate safety stock, reorder points, and replenishment quantities based on real demand variability and supplier lead time data, freeing working capital without increasing out-of-stock risk.

Supply Risk and Disruption Intelligence

We build risk management systems that continuously monitor supplier performance, logistics constraints, geopolitical signals, and capacity bottlenecks, giving procurement teams lead time to respond before a risk becomes a disruption.

Scenario Modelling and S&OP Enablement

We build scenario capabilities that let planners test demand spikes, supplier outages, and logistics cost changes, communicating financial trade-offs to leadership in real time.

Procurement and Supplier Intelligence

We build supplier analytics platforms that track performance across quality, lead time, cost, and reliability, giving procurement teams the intelligence to negotiate from knowledge.

Supply Chain Control Tower

We build integrated control tower environments that give supply chain leadership a live view of demand, inventory, procurement, and logistics performance, with exception alerts and KPI tracking built in.

HOW WE WORK

A structured path from fragmented planning to connected supply chain intelligence.

Assess

We start by understanding your current planning architecture including data sources, ERP landscape, demand planning process, and inventory management approach. You leave this phase with a transformation roadmap aligned to supply chain performance outcomes.

Build

We design and implement AI-powered supply chain planning capability integrated into your existing technology stack, connecting demand, inventory, procurement, and logistics data into a single, governed planning foundation.

Optimise

We stay engaged after go-live, tracking forecast accuracy, refining models as your product portfolio and market conditions evolve, and continuously expanding what the planning environment can do.

CLIENT OUTCOMES

What changes when supply chain planning is done properly.

GLOBAL HEALTHCARE AND MANUFACTURING ENTERPRISE

Supply chain transformation delivered within one implementation cycle.

22%Improvement in demand forecast accuracy

15%Reduction in inventory holding costs across the network

40%Reduction in time spent on manual data reconciliation in S&OP

"We went from reacting to supply disruptions to anticipating them. That is a fundamentally different way to run a supply chain."

VP Supply Chain, Healthcare Manufacturing Enterprise

BY INDUSTRY

Supply chain solutions by industry.

Generic platforms fail in specialist markets. Our supply chain models are built around the specific operating complexity and regulatory requirements of your sector.

Consumer Goods & Retail

High SKU counts, seasonal demand swings, and complex promotional calendars create a planning environment where forecast errors translate directly into lost sales or excess markdown.

✓Promotional demand uplift modelling
✓WSSI planning
✓FMCG demand planning
✓Last-mile fulfilment optimisation

IMPROVEMENT METRICS AFTER DEPLOYMENT

Forecast accuracy94%

Inventory reduction78%

S&OP speed65%

Disruption response82%

FAQ

Frequently Asked Questions

Questions we hear often from supply chain leaders. Answered properly.

We connect to your existing landscape including SAP, Oracle, Microsoft, Blue Yonder, and legacy platforms through secure APIs. Your systems of record remain intact.

Most organisations see measurable improvement within two to three planning cycles, typically twelve to sixteen weeks from the start of implementation.

The system uses internal performance signals and external risk indicators including supplier financial health scores, logistics network alerts, and geopolitical risk feeds to identify emerging risks before they result in supply failures.

Demand planning and inventory optimisation modules are typically live within eight to twelve weeks. S&OP enablement and control tower capabilities build out in subsequent phases.

Ready to transform your supply chain planning?

Do you have a specific supply chain challenge, need to scale your demand planning capability, or want to talk through what AI could realistically do for your operations team?