The problems

01 02

Improve demand forecasting and better understand the impact of fluctuating promotions, a move that will help reduce safety stock inventory.

02 02

Being able to drive revenue and reduce associated costs.

Our Solution

01 04

The Data Duck utilised the gold mine Coke have in terms of data in SAP.

02 04

We created algorithms to be able to anticipate demand.

0304

Lean Supply Chain

We created mobility solutions for inventory management.

0404

A/B Testing

We started with Karnataka and then moved to Maharashtra and then pan India.

Business Impact

53%
Uncertanity
34%
Replenishment Lead Time
0103

We used Inventory management to decouple demand and supply, to buffer variability in demand and supply.

0203

Implementing new planning algorithms significantly reduced the uncertainty (the standard deviation of the demand/supply or forecast error) by 53%, making safety stock unnecessary.

0303

We were also able to reduce replenishment lead time by 34%: with more production of lot size and fast changeovers, the lead time will be reduced significantly

Method

01 02

We utilised the SAP Cloud Platform HANA database. First, we subscribe to the HANA database on a Cloud Platform account.

02 02

Second, we applied Predictive services on CocaCola's Cloud Platform. Our Predictive service on Cloud Platform offered REST-based APIs, which we used in our mobility solutions.

Murad Moheet

Logistics Manager, Coca Cola

The Data Duck was a pleasure to work with. Their team worked onsite and offsite without any communication gaps or deployment issues. Their QA team is particularly impressive.

Let's build something
great together.

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