The business
Our client is a multibillion-dollar global spirits maker with many well-known brands, headquartered in the US. It makes and bottles them at sites across the US and Europe. Its mission is to bring its brands to more customers in more places, and to get each new product to market quickly.
The challenge
New products reached customers too slowly
Slow product setup
A new product's price and stock took too long to reach every system.
Online stores behind
E-commerce sites showed new products late, or with old prices and stock.
Data held in many places
Supply chain data sat in SAP, site systems and spreadsheets.
Older systems
Infrastructure and applications were hard to change and slow to scale.
The solution
What we delivered
- InfrastructureLayer 1
- ApplicationsLayer 2
- DataLayer 3
- Modern infrastructure
- Cloud infrastructure that scales with each product launch.
- Modernized applications
- Product, price and inventory applications updated, so changes flow through on their own.
- A modern data architecture
- One place for supply chain data, built for analytics and machine learning.
- Price and stock sent online
- Pipelines that send price and stock data to e-commerce platforms on a schedule.
- Update monitoring
- Alerts when a price or stock update fails to reach a system or store.
Results
The outcomes
Faster product setup
New products reach every system in half the time.
Price and stock online
E-commerce sites show current price and stock for new products.
View of supply chain data
SAP, plant and sales data together, across the US and Europe.
Manual fixes
Teams no longer key price and stock into each system by hand.
What it makes possible
AI agents for supply chain planning
With current price, stock and supply chain data in place, AI agents can help next. Planners approve each change.
Supplier confirmations
Read supplier dates as they arrive and keep plans current.
Demand forecasting
Forecast each brand by market, from orders and distributor sales.
Plan exceptions
Turn plan alerts into a short list of decisions.
Safety stock and replenishment
Set stock levels from confirmed supply and demand.