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DL-042 · Case study

Amazon Vendor forecasting and purchase order consulting

A Korean consumer goods supplier needed a more reliable way to interpret Amazon retail demand and coordinate replenishment.

Client
Name withheld
Location
South Korea
Industry
Consumer goods manufacturing
Capabilities
01Audit02Stabilize
01

Challenge

  • Vendor forecasts were interpreted manually and inconsistently across regional teams.
  • Purchase order changes were difficult to reconcile with internal production schedules.
02

Environment

  • Amazon Vendor Central and available Retail Analytics data.
  • Oracle NetSuite and internal manufacturing planning spreadsheets.
03

Intervention

  • Reviewed existing vendor reporting and purchase order workflows.
  • Established rules separating Amazon forecasts from confirmed orders.
  • Designed exception handling for shortages, purchase order changes and supply commitments.
04

Outcome

  • A consistent process for translating marketplace demand signals into planning decisions.
  • Clear technical requirements for subsequent NetSuite automation.
Amazon demand signals and purchase orders feeding a controlled manufacturing planning workflow.VENDOR CENTRALForecasts / POsRETAIL ANALYTICSDemand dataPLANNING RULESForecast vs POEXCEPTIONSShortagesNETSUITEProduction plan
  1. 01VENDOR CENTRALForecasts / POsRETAIL ANALYTICSDemand data
  2. 02RETAIL ANALYTICSDemand dataPLANNING RULESForecast vs PO
  3. 03PLANNING RULESForecast vs POEXCEPTIONSShortages
  4. 04EXCEPTIONSShortagesNETSUITEProduction plan
Fig. 01Vendor replenishment planningAmazon demand signals and purchase orders feeding a controlled manufacturing planning workflow.Scale NTS

Stack and services.

Stack02

  • Amazon Vendor Central
  • Oracle NetSuite

Services used02

Tell us what has to work.

A senior engineer reads every brief. Describe the system, what it runs on today and what happens when it fails.

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