480 locations
The production workflow addressed store-level demand planning across the operating network.
Case 02 / anonymized engagement
Forecasting moved from manual judgment to production.
DatabricksMLflowPythonAzure
Manual-14%
- Engagement
- 10 weeks
- Team
- 1 ML engineer + 1 data engineer
- Scope
- 480 locations
Indexed against the manual baseline across the stated scope of 480 locations.
- Accuracy
- 0.86 of target
- Bias
- Low, corrected
- Coverage
- 0.90 - most SKUs served
- Stability
- Holds week to week
- Latency
- Batch inside window
The brief
Move store-level demand planning beyond a manual process.
The engagement focused on store-level demand forecasting across 480 locations and taking the workflow into production.
Operating scope480 locations
ConstraintBeyond the notebook
ProofProduction workflow
Delivery
A production forecasting workflow in the existing cloud environment.
One ML engineer and one data engineer delivered the forecasting workflow using Databricks, MLflow, Python and Azure.
- Scope480 locations
- WorkflowPython
- TrackMLflow
- RunDatabricks + Azure
The model workflow was moved into production. The operating scope covered store-level planning across 480 locations.
Engagement detail
The constraint, the shape and the stack in one view.
Databricks and MLflow
The delivery used Databricks, MLflow, Python and Azure in the existing cloud environment.
10 weeks, two specialists
One ML engineer and one data engineer took the forecasting workflow into production.
Technical + business value
How the delivery translated into operating value.
A traceable forecasting path across the store network.
The workflow connected store-level scope with a Python implementation, MLflow model tracking and production execution in Databricks on Azure. One ML engineer and one data engineer owned the ten-week delivery.
A production decision system with a measurable planning result.
The engagement replaced a manual forecasting process with a production workflow and reduced store over-ordering by 14 percent across the stated scope.
-14%Store over-ordering
480Locations in the production scope
Outcome
Store over-ordering decreased by 14 percent.
Manual-14%
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