Deloitte worked with Nestlé to define their data and platform modernisation vision, strategy and roadmap. Based on that work, Nestlé selected the Microsoft Azure stack for its analytics needs. The team started identifying and prioritising artificial intelligence/machine learning (AI/ML) use cases, then conducted a pilot for a couple of use cases in a few lead markets, which were later scaled and deployed to markets nationally and globally. One of the solutions, called Sales Recommendation Engine (SRE), is now used by 1,500+ sales representatives every week and is driving a significant increase in sales.

Deloitte delivered data lake solutions using an agile methodology and a phased implementation approach. This also helped Nestlé with its global distribution deal with Nestlé Coffee Products (NCP) and extended the data lake to integrate newly merged NCP data. Deloitte has since worked with Nestlé to build other solutions to address challenges, such as sales forecasting, order prioritisation and modernisation of data pipelines, so that Nestlé could decommission legacy siloed systems and integrate data into a unified date lake. The integrated data lake enabled Nestlé to ideate and implement new analytics use cases, which were hard to build and execute in the older siloed systems.

User-persona-centred design guided the solution development during the data lake programme. To instill confidence in the system and increase adoption, Deloitte provided sustainment services with 24/7 support to improve data quality and high availability of the lake.

Over the years, the Deloitte and Nestlé teams have hardened the infrastructure and delivered a well-managed, scalable data lake. Nestlé also now enjoys strong continuous integration/continuous development (CI/CD), DevSecOps, and MLOps processes. Combined with Deloitte’s cloud accelerators, Nestlé has significantly reduced its time to production and gained efficiency in development efforts.

• Successfully transitioned 800+ sales representatives to use the SRE app for prioritising store visits based on recommendations from the engine built by Deloitte. Nestlé drove 3% additional sales in their major customers through the SRE.
• Successfully integrated structured and semi-structured and unstructured data from 10+ sources into Nestlé USA’s data lake to drive SKU assortment performance by analysing changes in pricing, volume, competitor pricing and promotions.
• Migrated legacy logistics reporting platform to the Nestlé data lake to create advanced self-serve BI Platform for generating key reports (3PL) for 1,000+ third-party vendors for on-time delivery of Nestlé products from warehouse to shipping partner.
• The Nestlé data lake is the cornerstone for 400+ operational reports serving 800+ sales users by integrating 15+ data sources. The dashboards include the summarised reporting for executive leadership and detailed reporting for analysts.
• Strong CI/CD, DevOps, and MLOps processes (including automated data testing, code review, security vulnerability checks) are in place to minimise platform failures and decrease time to production.

50% faster

The data ingestion solution, backed with multiple utilities such as an ingestion framework with built-in audit capabilities, significantly decreased the time needed to ingest data sets and enabled rapid development.1,500 personnel

2,000+ user adoption increase

The centralised data lake implementation led to smooth onboarding of business users from the sales, supply chain and e-commerce functions.

17 siloed systems decommissioned

Several siloed systems decommissioned as a result of the migration from legacy systems to a centralised data lake. This includes SQL Server/Oracle DB.

$200+ million in business value generated

In the last four years, an estimated cumulative $200+ million worth of business value has been generated through projects and programmes in the data lake.