DEEPXP.io

Case study · Consulting & data strategy

From choosing the data to an order-tracking tool used every day

Knowing which data to track, then building the tool that uses it: from framing to an order-tracking tool, operated by the DEEPXP team.

Key figures

  • 1single interface to track orders end to end
  • 50+people use the interface every day
  • 1MCP connector to monitor orders in natural language
Industry
Retail
Expertise
Consulting & data strategy
Deliverables
  • A map of the data across the order lifecycle
  • A prioritisation of the data by business value
  • An order-tracking tool built on the selected data
  • An MCP connector to monitor orders in natural language
  • Operation of the system by the DEEPXP team
Technologies
  • Data mapping
  • Value / effort matrix
  • MCP connector

The challenge

Order tracking relied on many data sources spread across several tools: order taking, preparation, delivery. Not all of them were equally useful, and the client needed to know which ones really mattered to follow an order end to end, and where to start.

The value delivered

DEEPXP first ran a framing phase with business teams and IT: an inventory of the data available at each step of the order, an assessment of its quality and usefulness, then a prioritisation by business value and required effort. DEEPXP then built the order-tracking tool on the selected data, and its team operates the system.

Results

Teams track their orders in a tool built on the data that really matters, chosen and prioritised during framing. The DEEPXP team operates the system.

Method phases

  1. 01Frame

    Goals, data inventory and priorities, with IT and business teams.

  2. 02Model

    Target architecture, data model, knowledge graph.

  3. 03Build

    Platform, pipelines and interfaces, open source wherever possible.

  4. 04Hand over

    Go-live, training and skills transfer to your teams.