Clients & Impact

Trusted by industry leaders across manufacturing, logistics, retail, consumer goods, real estate and leading commercial industry associations.

Trusted by Industry Leaders

Impact Stories

Here are some examples of how we've helped organizations transform their data capabilities and drive measurable business value.

From Fragmented Data to a Unified Insight Platform

A leading manufacturing company struggled with data silos across multiple business units, making it difficult to get a holistic view of operations. Through our Lean Data Methodology engagement, we helped them:

  • Identify high-value scenarios across production, supply chain, and sales
  • Design and implement a unified data platform that connected previously isolated systems
  • Establish data governance processes that balanced flexibility with control

Results: Improved forecast accuracy by 25%, reduced operational waste through better visibility, and enabled data-driven decision-making at all levels of the organization.

Smart Logistics Optimization for an Integrated Transport Group

A major logistics and transportation company needed to optimize routes, reduce fuel consumption, and improve customer experience. Our engagement focused on:

  • Co-creating scenarios that balanced operational efficiency with customer satisfaction
  • Building data products that provided real-time visibility into fleet operations
  • Implementing predictive analytics for maintenance and route optimization

Results: Achieved significant reductions in fuel costs, improved on-time delivery rates, and enhanced customer satisfaction through better visibility and communication.

Digital Operating System for a Manufacturing Ecosystem

A coatings manufacturer wanted to transform from a traditional manufacturer to a data-driven organization. We worked with them to:

  • Redesign their data strategy to align with business transformation goals
  • Build a lean data platform that supported both current operations and future growth
  • Identify and prioritize high-value scenarios across production, supply chain, and channels

Results: Improved forecast accuracy, reduced operational waste, and established a foundation for continuous data innovation. The organization now uses data as a core production factor in decision-making.

Inventory Clarity for a Multi-Marketplace Cross-Border Brand

A fast-growing cross-border e-commerce brand selling across Amazon EU, UK and North America struggled to understand where inventory was, which SKUs were profitable, and how much cash was tied up in slow-moving stock. Using our Lean Data Methodology, we helped them:

  • Connect marketplace data (orders, returns, fees) with 3PL warehouse systems and in-transit shipments
  • Standardize SKUs and product hierarchies across countries, currencies and sales channels
  • Build weekly inventory and cash-flow views by SKU, warehouse and marketplace
  • Expose slow-moving and overstocked SKUs and simulate clearance strategies

Results: Reduced excess inventory by 22%, freed up working capital to launch new products, and gave founders a single, trusted view of their global business.

Warehouse & Fulfillment Analytics for a Cross-Border 3PL

A regional 3PL provider serving cross-border brands wanted to move beyond basic SLA reporting and become a data partner. We worked with operations and commercial teams to:

  • Map the end-to-end data flow from inbound receipts to outbound shipments across multiple warehouses
  • Define a lean set of KPIs for storage utilization, handling efficiency and on-time performance
  • Design client-facing dashboards that showed inventory health, ageing and service quality by account
  • Introduce data agents to answer client questions such as “which SKUs are ageing in EU warehouses?”

Results: Increased warehouse productivity, improved client retention, and enabled the 3PL to position itself as a strategic partner to cross-border brands rather than just a cost center.

Profitability Insights for a Factory Going Direct-to-Consumer

A traditional OEM factory started selling directly to overseas consumers through multiple online storefronts, but lacked a clear picture of true profitability after advertising, logistics and returns. Our engagement focused on:

  • Integrating order, ad spend, logistics and returns data into a lean data model
  • Calculating landed cost and contribution margin at SKU, campaign and channel level
  • Building decision views for product rationalization, price adjustment and marketing budget reallocation
  • Embedding these views into a monthly operating rhythm between finance, operations and growth teams

Results: Identified unprofitable SKUs and channels, improved overall margin by focusing on high-performing niches, and created a repeatable way to “know the numbers” before scaling into new markets.

Numbers that Matter

While every engagement is unique, here are some typical outcomes our clients experience:

Forecast Accuracy

Clients typically see improvements of 20-30% in forecast accuracy through better data integration and analytics.

Operational Efficiency

Reductions of 15-25% in operational waste and lead times through data-driven process optimization.

Decision Speed

Faster decision-making cycles, with data-backed insights available in days rather than weeks or months.

ROI on Data Investments

Higher return on data and digital investments through value-driven prioritization and execution.

Ready to Create Your Own Impact Story?

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