client Studies

Case Study: SupplyVue

Bespoke Software Design & Development. Modern, Interoperable Data Platform. Advanced Data Services.

As part of the partnership between cloudThing and SupplyVue, we were asked to carry out a full end-to-end build with envisioning, UX design, engineering, on a new next-gen data processing platform with capability of processing billions of datapoints whilst being cost effective to operate and support.

 

Who are SupplyVue?

SupplyVue are an analytics and planning solution organisation that empowers their clients to improve services and reduce costs by synchronising their processes right across their supply chain network.

 

As many companies suffer from poor visibility and understanding of the information across their supply chains, SupplyVue set out to better enable them to achieve a data driven, high performance supply chain that was both synchronised and sustainable.

 

SupplyVue offers their clients a unique and powerful combination of capabilities including Monte Carlo simulation, genetic algorithms and smart heuristics.

 

The Brief:

SupplyVue had successfully developed a highly innovative product for the acceleration and empowerment of Supply Chain analytics, but it had found itself limited in its ability to grow due to legacy solution not being able to scale up to their fast-growing client base, and quickly increasingly data volumes.

 

What Would Success Look Like?

SupplyVue required their legacy Supply Chain analytics digital product (on Tableau over SQL) be re-platformed and re-developed to a next-gen platform.

 

cloudThing agreed with them that the best course of action would be to migrate it to a modern data platform that utilised a React Web app including Synapse Analytics, Azure Data Factory, Data Bricks and Data Lake.

 

This approach would allow us to offer SupplyVue Azure’s full data science capabilities within an elastically scaling solution; and cost recharge; and a modern DevSecOps development lifecycle that would enable them to build out and scale their product much more quickly and efficiently.

 

What We Did:

cloudThing started at the beginning of the journey with the client to carry out envisioning exercises, design User Journeys; to help the product owners visualise the solution.

 

Once that stage of the project was finished; we moved to a development phase, implementing it with a full team approach comprising: Solution Architects, Data Engineers, Front End Engineers, UX designers, Software Testers, Delivery Manager

 

To building SupplyVue’s next-gen apps, we used Databricks and Synapse Data Integration and Spark capabilities for quickly modelling and building predictive analytics solutions; allowing them to model millions of supply chain scenarios which would help planners understand the impact of decisions on their businesses supply chains; in time planners work with the platform to improved synchronicity in their supply chains, reducing costs and improving delivery.

 

Technologies Used:  

  • SQL Azure,
  • ADF,
  • Databricks,
  • Synapse,
  • Azure App Service,
  • Azure Functions,
  • React

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