Connected Decision Making
Enhance How Your Enterprise Senses, Learns and Improves
Through Intelligent Operating Models the entire organization can visualize, simulate, decide and learn from every optimization scored by AI.
Connect Strategy, Investment and Execution
Bring decision cycles together.
Strategic portfolios, budgets, and governance cycles often move on different timelines. Intelligent Operating Models create a shared digital twins of your operating models, enabling you to overlay customer, market and workforce signal in a digital sandbox enabling teams to generate simulations of the business, understand tradeoffs, and align decisions around the best economic outcomes.
Applied Impact
Moving faster with global ERP systems during the global tariff crisis.
A global industrial equipment manufacturer was forced to halt a nearly completed factory in China after sudden tariff shifts threatened hundreds of millions in added costs.
To maintain market commitments, leadership redirected production of a complex product with more than 20,000 components to an EU facility that had never built anything above 5,000 parts. This created an immediate capability gap.
The initial remedy was a $10M+ ERP deployment, yet even on an accelerated path it would take a year or more to implement, far too late to offset tariff exposure or meet demand.
Using nVeris Pulse, the company engaged frontline teams to rapidly map their daily workflows, identify critical pain points, and surface the solutions they needed most to improve their daily work. nVeris consolidated these insights into a focused set of continuous improvement actions. With this intelligence, leadership executed targeted, high-impact interventions - providing teams with a data lake to compare legacy and new bills of materials, deploying lightweight standalone applications, and reconfiguring receiving docks and part-staging layouts. This helped buy time for a more comprehensive ERP rollout but also raised morale and provided a lot of insights for improving the ERP when it is deployed.
To maintain market commitments, leadership redirected production of a complex product with more than 20,000 components to an EU facility that had never built anything above 5,000 parts. This created an immediate capability gap.
The initial remedy was a $10M+ ERP deployment, yet even on an accelerated path it would take a year or more to implement, far too late to offset tariff exposure or meet demand.
Using nVeris Pulse, the company engaged frontline teams to rapidly map their daily workflows, identify critical pain points, and surface the solutions they needed most to improve their daily work. nVeris consolidated these insights into a focused set of continuous improvement actions. With this intelligence, leadership executed targeted, high-impact interventions - providing teams with a data lake to compare legacy and new bills of materials, deploying lightweight standalone applications, and reconfiguring receiving docks and part-staging layouts. This helped buy time for a more comprehensive ERP rollout but also raised morale and provided a lot of insights for improving the ERP when it is deployed.
Progressively Advance Product and Services with Real Signal
Align product, customer and operational signals.
Product and service systems generate feedback from customers, teams, and operations every day. Intelligent Operating Models link these signals to the flow of work, surface opportunities to improve, and help teams test and refine updates. Each iteration becomes more effective through nested learning-loops informing what is happening across the entire flow.
Applied Impact
Real-time adjustments during a sudden flagship product sales drop.
A global leader in luxury kitchen appliances saw demand suddenly drop for a flagship $400 barista-quality coffee maker, but didn’t know why. Sales, finance, and product teams responded from different data sources, slowing decisions and spreading investment across competing fixes.
An nVeris consumer pulse, combined with review and market signal, revealed the real issue: loyal customers still loved the taste, but reported coffee drips damaging the non-stick coating on the warming plate. At the same time, viral coverage about the health of PFAS was driving buyers to a new competitor.
Using nVeris to model options, the teams identified a high-ROI path: switch to a ceramic component at roughly a $10 unit cost. They shipped beta units to the customers who surfaced the insight and validated the improvement.
Loyal customers felt more engaged with the brand due to the innovation based on their feedback and shared that they would pay up to $50 more because this segment in willing to pay a premium for healthier products that last longer.
An nVeris consumer pulse, combined with review and market signal, revealed the real issue: loyal customers still loved the taste, but reported coffee drips damaging the non-stick coating on the warming plate. At the same time, viral coverage about the health of PFAS was driving buyers to a new competitor.
Using nVeris to model options, the teams identified a high-ROI path: switch to a ceramic component at roughly a $10 unit cost. They shipped beta units to the customers who surfaced the insight and validated the improvement.
Loyal customers felt more engaged with the brand due to the innovation based on their feedback and shared that they would pay up to $50 more because this segment in willing to pay a premium for healthier products that last longer.