DIGITAL OPERATIONS / AI ERP

A sourcing ERP built from client work—not a generic dashboard.

How Aupeak used AI-assisted development to organise product, order, QC, logistics and payment records in a private client sourcing workspace.

Location
Aupeak private client workspace
Project
AI-assisted sourcing operations system

CLIENT SITUATION

Why the project needed local coordination.

Specifications, quotations, purchase orders, inspection findings, shipping details and payment dates were spread across spreadsheets, email and chat history.

Challenge

Multi-category buyers needed a clearer current record without repeatedly asking which file or message contained the latest product, order or shipment update.

WHAT AUPEAK DID

Actions taken.

  1. 01Mapped Aupeak's day-to-day sourcing workflow before selecting the system structure.
  2. 02Used AI as a development partner to build connected product, order, QC, logistics and payment views.
  3. 03Created individual client access so each buyer sees the records connected to their own sourcing work.
  4. 04Continued refining the workspace around recurring client questions and operating needs.

EVIDENCE

What made the work reviewable.

  • Product specifications and supplier quotations.
  • Purchase orders, quantities and production records.
  • QC findings and defect records.
  • Containers, forwarders and delivery schedules.
  • Payments and upcoming commercial deadlines.

OUTCOME

The private workspace provides a shared operating record for Aupeak and the client. It reduces time spent searching for the latest spreadsheet and makes connected sourcing decisions easier to review.

START A CONVERSATION

What would a successful sourcing project look like for you?

Send us your references, target quantity and destination. We’ll review the brief and suggest the clearest next step.