Data & Analytics Platform Engineering
Case Study
Five Years, Three Systems: A Data Partnership Built Through Repeat Engagements
From a seasonal inventory alerting system in 2020 to an order-tracking platform now in its second major version — one relationship, continuously extended.
The Client
A leading global packaged food manufacturer headquartered in Germany, with US and Canada operations, relying on tightly coordinated seasonal production and distribution cycles.
The Problem
- No automated way to know, in real time, when remaining inventory for a fast-moving seasonal product was about to run out during the critical holiday selling window.
- Order status information was scattered across the supply chain with no unified, real-time view.
Xperton’s Approach
- 2020: designed and built a Seasonal Inventory Tracking System pulling data from SAP and EDI on a scheduled basis into a new SQL Server database.
- Modeled inventory capacity against a configurable tolerance threshold and automated alerting the moment projected inventory approached zero.
- 2021: extended the relationship with a Track and Trace Orders System for real-time order visibility across the supply chain.
- Built both systems SQL-Server-native, with scheduled jobs, structured error logging, and email-based alerting — engineered for STORCK’s own team to run independently.
The Solution
- Seasonal Inventory Tracking System: an SAP/EDI-fed SQL Server database with configurable, threshold-based alerting.
- Track and Trace Orders System: a unified, real-time order-status visibility layer across entire supply chain.
- Track and Trace Orders System 2.0 (May 2025): an enhanced version of the original platform — continued investment, not a one-time build.
The Results
- The relationship is now in its sixth year, spanning three delivered systems.
- In May 2025, Xperton shipped Track and Trace Orders System 2.0 — direct evidence the Company keeps choosing Xperton, engagement after engagement, without a formal re-compete.
At a glance
INDUSTRY
Food Manufacture
CHALLENGE
Company internal IT team needed systems they could operate day-to-day, not a black box requiring an outside vendor for every change
SERVICES USED
End-to-end data ecosystem engineering: ingestion, transformation, orchestration, and governance, unified into one platform you can trust.
RESULTS
A model repeat-client relationship: 90% of Xperton’s overall business comes from clients who follow this same pattern.
All systems designed for internal operability — Company IT team runs them day-to-day, with Xperton engaged for enhancements, not routine maintenance.
Innovation Is Not A Goal, It’s A Way We Do Business.
PROOFS OF CONCEPT PER YEAR
CUSTOMER RETENTION
BUSINESS FROM REPEAT WORK
Technologies We Support
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