Sovereign IG AI Foundry
Your AI. Your Data. Your Destiny.

With IG Forecast integrated over our legacy SAP and custom HS systems, we ran three geo-focused predictive models in parallel and today we’re achieving over 90 % accuracy for key commodities while reducing spot-buying costs by double-digits.

IG Forecast is sat on top of our existing platforms rather than forcing a rip-and-replace. The ability to compare three modelling approaches side-by-side allowed us to pick the one delivering the fastest ROI.

IG Match plugged into our HR/Project-tracking databases and instantly provided modelled matches based on skills, geography and project type. So, we cut staffing cycle time by nearly 30 % and improved resource utilisation markedly.

We started using Swiftie internally just to handle inbound demos, and honestly, it fixed the biggest headache. No missed leads, no delays. It just follows up instantly, every time.

We incorporated Swiftie to take some load off the team, but it ended up handling way more than expected. Calls, scheduling, follow-ups, it just runs without us needing to step in.

What I didn’t expect was how much visibility we’d get. Every call is logged and summarized, so you always know what’s happening without chasing people.

Rather than discarding our infrastructure, the InGenius team built a custom solution that layered into our stack and compared multiple ML models regionally. We’ve gained process visibility, collaboration across finance and procurement, and measurable cost savings.

The consultancy engagement with InGenius challenged our assumptions, deployed a tailored roadmap and compared alternative AI-models for our supply chain risk profile. The outcome: shorter decision-cycles, more confidence in our strategy, and an uptick in operational efficiency.

By integrating the Forecast tool over our legacy ERP and running multiple models across North America, EMEA and APAC concurrently, we now make budget-decisions weeks earlier and with higher accuracy

We chose InGenius for their custom AI solution because they offered to compare several geofocused models (region, commodity, currency) on top of our existing stack. We are seeing better forecasting precision, smoother integration and measurable cost avoidance.