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Impact Created

Unified Enterprise Data Platform

Engineered and deployed an enterprise data and analytics architecture that unified warehouse, inventory, robotics, IoT, and customer data into a single analytics ecosystem.

>35% Improved Decision Making

Built centralized, real-time visibility across warehouse operations, inventory movement, and fulfillment performance – enabling faster decision making.

Advanced Inventory Intelligence

Delivered predictive inventory analytics and warehouse performance insights for optimized resource utilization, improved customer visibility, and operational ROI.

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The Challenge

A leading warehouse automation company needed to deliver advanced analytics capabilities for large-scale warehouse environments (spanning 500,000 to over one million square feet). As warehouse operations became increasingly automated, critical operational data was spread across warehouse management systems (WMS), robotics platforms, IoT devices, order management systems, and CRM applications.


Without a unified data architecture, the organization faced significant challenges in monitoring warehouse productivity, optimizing inventory movement, forecasting fulfillment demand, and providing customers with meaningful operational insights. The business required an analytics foundation capable of integrating diverse enterprise data sources while enabling predictive decision-making across complex warehouse operations.

Fluidata's Solution

Fluidata engineered and deployed an enterprise-grade data and analytics architecture that unified operational data into a centralized analytics hub supporting Qlik Sense. By integrating warehouse management systems, robotics, IoT, order management, and customer data, the solution established a single source of truth for enterprise-wide warehouse analytics.


The implemented analytics platform enabled:

  • Throughput analysis to measure and optimize both robotic and human workforce productivity.

  • Inbound, outbound, and missing carton analytics to improve warehouse movement efficiency.

  • Predictive inventory, fulfillment, and SKU analytics supported by scenario analysis for improved stocking and warehouse space utilization.

  • Customer-facing operational dashboards that increased visibility into warehouse performance and service delivery.

  • Centralized reporting across warehouse operations, inventory, orders, and resource utilization.

The solution transformed fragmented operational data into actionable business intelligence, enabling faster decision-making, improved warehouse productivity, optimized inventory planning, and stronger customer satisfaction. Through the tailored solution, the company was enabled to deliver measurable business value across its operations.

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Designing Predictive Inventory Analytics for a Warehouse Automation Company

A warehouse automation company needed to bring data from WMS, robotics, IoT, order management, and CRM systems into one analytics environment. Fluidata built a unified data architecture that enabled predictive inventory and fulfilment analytics alongside real-time warehouse visibility. This gave the business a stronger foundation for faster decisions, better resource utilization, and improved operational performance.

Technology

Qlik Sense, Warehouse Management System (WMS), Internet of Things (IoT)

Industry

Supply Chain & Logistics

Client

Warehouse Automation Company

Services

Data Engineering, Data & AI Governance, Business Intelligence (BI)

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The Fluidata Impact

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