Exiger Takes the Supply Chain Risk Market by Storm – Disrupting the Industry

Here is a concrete move: implement a single, auditable basis across all suppliers and their tiers, ensuring every third-party connection is assessed against regulatory requirements and ESG criteria. The makers of risk and procurement can use this to prioritize fixes; their dashboards highlight high-potential vulnerabilities and set milestones, about the evolving threat landscape.

Exiger’s platform enables 60-80% faster risk assessments for suppliers, reducing cycle time from six weeks to two weeks in many enterprises, and it scales to cover every tier of the supply base. It links regulatory signals with defense-grade analytics to provide a 360-degree view of exposure, with automatic alerts when a supplier’s risk score crosses a threshold.

By transforming how teams operate, Exiger offers tangible opportunities to reduce incidents and to create a proactive risk culture. For instance, after integrating the platform with onboarding cycles, firms report a drop in regulatory findings by 40% and an increase in due-diligence coverage of critical suppliers.

ile their teams, you can build a continuity plan that covers every phase of the supplier lifecycle – onboarding, monitoring, remediation – and you can set a defensible basis for third-party decisions. Here, ensuring that each policy aligns with industry standards helps both risk and procurement partners defend their choices to regulators and executives.

Exiger’s approach surfaces potential blind spots across suppliers, including small manufacturers and distant vendors. It offers automated third-party risk scoring, contract-language templates to accelerate remediation, and a governance cadence that pairs business units with compliance officers, creating a resilient defense against shocks.

As a closing note, after adopting this framework, leaders should create a cross-functional review board that meets monthly to review risk signals from each supplier. This ensures their decisions stay aligned with regulatory expectations and business goals, while continuing to grow opportunities in the market.

DPW Amsterdam Spotlight: Exiger’s Disruption of the Supply Chain Risk Landscape

Implement Exiger’s risk signals directly into your supplier onboarding workflow within 30 days to cut third-party onboarding time by up to 40% and reduce compliance gaps by about 30%.

Next, deploy a unified risk dashboard that combines internal data, public records, and vendor signals to drive action and scrutiny across your organization. Regular observing of metrics yields early warnings that inform decisions and help your teams stay aligned.

Through Exiger’s platform, you identify third-party risk early, manage growing networks, and handle complex cases with automated workflows.

Observing supplier performance metrics in near real time, you can anticipate disruptions due to fluctuations and sanctions, and adjust due diligence accordingly.

Committed to measurable outcomes, Exiger supports your team with ongoing monitoring and a clear escalation path, so actions translate into growth and resilience.

Consider starting with a 90-day plan: map your top 50 suppliers, install the data feed, and set alert thresholds that trigger governance actions within 24 hours.

In practice, this approach yields higher efficiency, faster onboarding, and stronger relationships across larger networks.

Done well, you can drive growth while keeping scrutiny tight, ensuring your businesses matter.

What sets Exiger apart in third-party risk scoring

Start today by embracing Exiger’s dataset-driven risk scoring to reduce the burden of third-party risk and accelerate a confident decision. We are able to create a scoring layer that represents real exposure across suppliers, integrating source data from finance, operations, and compliance to support a united view.

Our advanced analytics combine structured and unstructured signals from a leading set of data partners, and we scale insights as your vendor base grows. Instead of one-off checks, the platform maintains continuous monitoring that scales with your portfolio month after month, without them experiencing blind spots. The dataset grows with every new supplier, making your risk view more resilient and easier to manage.

Exiger represents a decision-support framework that stands up to major risk scenarios. It offers an alternative to manual questionnaires, a capability that can give the procurement team a clear, prioritized action plan. The system consolidates data from a unified source, helping you manage risk without overburdening staff. This approach tackles the challenge of incomplete signals and fragmented data.

In the past, teams faced fragmented signals and inconsistent scoring that made risk reviews slow. Here, Exiger helps united teams thrive by aligning risk posture across legal, procurement, and operations. The approach reduces manual rework and accelerates remediation, so major issues get addressed before they escalate.

Quality comes from a curated dataset and trusted sources, with clear governance and versioned models. A typical implementation can be completed in a targeted month, giving you a repeatable process for scaling risk scoring across vendors and lines of business. You stay able to adapt controls as your needs shift, creating a foundation that thrives over time.

Exiger stands out because it combines practical risk-scoring with an execution-ready workflow. It gives leaders actionable briefs, a clear audit trail, and documented outcomes. By linking risk scores to remediation milestones, you can demonstrate impact today and in the major audits ahead.

Surface and prioritize supplier risks: a practical 3-step framework

Step 1: Surface your supplier network now by compiling a specialized dataset from multiple sources–ERP, sourcing platforms, public disclosures, and exiger feeds–to map third-party makers and materials across your line. This view highlights hotspots where a single supplier touches multiple materials and operations, still leaving room to expand coverage as your sourcing is growing.

Step 2: Prioritize risks with a 3-axis score focused on material criticality, geographic exposure, and supplier dependency. Attach weights by line, flag the biggest exposures, and set thresholds that trigger targeted mitigation actions across the chain, aligning with your vision for resilient sourcing.

Step 3: Act and monitor: implement mitigation actions, diversify sourcing, and set triggers tied to the risk score. Build contingency lines with alternative suppliers, adjust the order mix to balance capacity, and refresh the dataset quarterly to capture growing signals. This approach translates data into practical solutions, reveals opportunities for greater resilience, and scales operations across the public supply chain.

DPW Amsterdam case study: quick wins and early ROI

Adopt a unified saas risk platform now to centralize supplier data and deliver real-time signals across DPW Amsterdam’s vendors network. Data pulled from procurement, security, and facilities teams creates an accessible, united view aracılığıyla which action follows quickly, having context that addresses ihtiyaçlar across both cost and risk.

Quick wins include: onboarding three key vendors in 5 days vs 21; automated risk scoring cuts manual effort by 60%; production dashboards reveal order fluctuations and capacity, enabling rapid action and reducing stockouts by about 30%.

ROI kicks in within 90 days: penalties tied to delays drop by 40%, expedited freight costs fall 25%, and net procurement cost savings reach 10–12% for the quarter. Having real-time signals, teams observe ve act where thresholds are breached, delivering gain across both cost and risk. This really demonstrates a fast payback in the early phase.

Scale the model from Amsterdam to a global network by licensing the same data model, aligning relationships ile providers ve vendors, and sustaining a mission-driven approach. Keep dashboards accessible to facilities, procurement, and security, ensuring coverage for fluctuations in supply, demand, and production schedules across the world.

Action plan for quick wins: map top vendors ve providers, set risk thresholds, connect procurement, security, and production feeds, train two risk champions, and report weekly on key metrics to maintain momentum.

DPW Amsterdam’s case shows how a unified, mission-driven platform can deliver early ROI while strengthening relationships ile vendors ve providers across the global network. Having observing capabilities and accessible dashboards helps the team respond aracılığıyla disruptions with confidence.

Integrating Exiger with your data stack: data onboarding and governance

Connect Exiger to your data stack with a governed onboarding pipeline that creates a single source for risk signals, allowing proactive governance and reducing disconnected data, which cuts costs and delivers much faster decision-making.

Leverage a recent, repeatable onboarding process for core sources like ERP, procurement, supplier risk feeds, and third‑party data, consider open data partnerships, and map them to a common schema to address threats and meet rising demand, with onboarding steps arranged in a clear order for speed and consistency.

Structure the implementation around three layers: a core data model, policy‑driven governance, and a proactive risk scoring scheme. This keeps costs predictable, handle larger data volumes, and give a practitioner a solid foundation to gain the confidence of leading stakeholders and unlock potential for the entire organization, enabling you to move to the next stage.

Open APIs and connectors let you address their needs without rearchitecting teams. Exiger offers automated data lineage, access controls, and alerting that reduce false positives and accelerate time-to-value, giving your team the freedom to address change and focus on priority tasks rather than data wrangling. weve observed that improving data quality at onboarding increases economy and enables a predictable scale as you drive evolution of your risk posture toward the next milestone.

ROI metrics: measuring risk reduction and cost savings in 90 days

Launch a 90-day sprint focused on first-tier providers and specialized services, with a mission to unlock opportunities for brands and the public. Pull data from ERP and procurement systems to trace line items and quantify risk reduction.

Define three concrete targets for the period: (1) reduce disruptions by a measurable percentage, (2) cut carrying costs and expedited shipping expenses, and (3) shorten cycle times for key orders. You cant rely on assumptions; use pulled data from actual transactions to back each target.

Key metrics to track weekly include:

• Risk reduction: disruptions avoided, on-time delivery rate improvements, and changes in supplier risk scores; data traced from source systems.
• Cost savings: inventory carrying cost reductions, avoided expedited shipping, lower scrap and rework costs, and reduced quality-related expenses.
• Cash flow impact: working capital release from faster turnover and earlier payments from customers or buyers.
• ROI indicators: payback period and net value generated over the 90 days; report the before-versus-after delta using original baselines.

How to structure data collection and analysis:

• Trace and pull baseline data before starting the sprint, then compare it to results after 90 days.
• Map impact by line items across the tier of suppliers and the services you engage with.
• Segment by domain, including export and medical supply chains, to show sector-specific gains.
• Document incidents witnessed and quantifiable outcomes to support decision-making and future planning.

ROI calculation snapshot (example):

1. Gains from risk reduction: 8 disruptions avoided × $8,000 each = $64,000
2. Additional cost savings: inventory carrying costs saved = $40,000
3. Avoided expedited shipping and quality costs: $32,000
4. Total gains: $136,000
5. Initial program costs: $18,000
6. ROI = (Gains − Costs) / Costs = (136k − 18k) / 18k ≈ 6.5x
7. Payback period: within the 90-day window if savings accrue steadily throughout the period.

Practical steps to maximize results in 90 days:

• Before starting, lock the original baseline data and identify three measurable risk indicators tied to your mission.
• When selecting data to pull, focus on first-tier providers and their after-sales services to capture full impact.
• Deal directly with suppliers to align targets and ensure data quality; coordinate with brands that depend on public disclosures or shared dashboards.
• Trace line items across the supply chain to reveal hidden cost drivers and opportunities for optimization.
• After 90 days, publish a concise ROI summary that shows future potential and accelerators for wider deployment across manufacturing lines.

By concentrating on concrete metrics, you witness a clear link between risk reduction and cost savings, making a compelling case for expanding the approach across other segments of the business, including export and medical supply chains.