- Industry: FMCG
- Service Line: Azure Functions, Image Processing, Big Data
- Geography: UAE
With huge amounts of product imagery data containing 250 million images for each application, a Multinational FMCG partnered with VaporVM to help them consolidate all imagery into a single repository. Through their partnership with VaporVM, the client is now able to use a fully automated system to securely access up-to-date data without the need for external access intervention.
The digital innovation curve hasn’t been an easy sail for FMCG companies. Adding to the growing sea of existing data streams (sales, promotional, supply-chain, and finance data), social media also adds to the woes. So, it becomes imperative for FMCG organizations to manage, streamline, sort all this information, making the data more intuitive and insightful in real time.
A multinational American FMCG conglomerate is facing huge amounts of product imagery data siloed in legacy on-prem applications. Each application contains about 250 million images and spans across multiple applications and multiple providers. Retrieval and analysis of this data are slow and cumbersome, which is affecting their business operations and could potentially incur a large revenue loss.
The client wanted to consolidate all imagery data within their environment into a single repository for easier management and access control. The solution had to be able to connect to multiple external applications, be easily scalable, and provide a repository where image recognition models could be run later. They also needed to ingest at least 10,000 images (and their related analysis data).
VaporVM developed light-weight utilities, powered by Azure, capable of being serverless to connect to each application and ingest all images and documents. VaporVM provided the following services:
- Architecture design and development
- Serverless Functions for connectivity and orchestrations
- Software development for optimized ingestion (17,000 images per hour)
The client has seen a 10% increase in supply chain efficiency by having a centralized repository for all imagery data, with single sign-on and image tracking to provide real-time information of source application, use case, ingestions, and timestamps. They have also increased their productivity by being able to use a fully automated system to secure access up-to-date data without the need for external access and intervention.