Driving Supply Chain Agility for a Global Consumer Goods Leader

5 min

IN A NUTSHELL

9 %

Reduction in stock-outs

$4–5m

Cost avoidance forecast

31

countries with centralized visibility into sales and inventory metrics

240 +

hours/month saved by automating manual reporting processes

About Client

A global leader in the consumer goods industry, this company operates across 180+ markets, employing 50,000+ people. With a wide-ranging supply chain and a product portfolio distributed across complex geographies, the client needed to improve visibility and real-time data access to remain competitive and responsive in a dynamic market.

EMPLOYEES

10,000+

LOCATION

London

INDUSTRY

Retail & Consumer

01

What Was the Challenge

The client’s supply chain operations were slowed by fragmented, manual processes and over 22 disconnected data sources. Without a centralized view, performance metrics were inconsistent and slow to surface, making it difficult to respond quickly to changes in demand or lead times. The absence of real-time insights and predictive forecasting limited the client’s ability to plan confidently and proactively manage risks such as stock-outs and overstocks.

02

How We Solved the Problem

Ciklum partnered with the client to deliver a centralized, cloud-based data model powered by Snowflake and Microsoft Azure. We implemented live dashboards and Power Apps workflows to give stakeholders across the supply chain instant insights and control. Ciklum’s agile delivery model allowed for quick iteration and feedback integration, accelerating the client’s time-to-insight and enabling more strategic decisions.

Harnessed a Single, Unified Data Model

We developed a centralized Snowflake-based data platform, integrating KPIs from diverse global systems to provide a consistent, reliable foundation for all supply chain analytics.

Power Platform Integration

Using Power BI and Power Apps, we enabled real-time visualization and process digitization, empowering teams to act on data, not intuition.

Deployed Cloud-First Architecture

The solution was fully deployed on Microsoft Azure, leveraging tools like Azure Data Factory, Data Lake, and DevOps to ensure a scalable and secure infrastructure.