We deliver measurable results
Get to know the client
The client is the leading hypermarket in Thailand, which over the 26 years of development has grown more than 2,000 stores, spanning a total retail floor space of over 1.4 million square meters. They serve more than 15 million customers every week through both physical stores and an online platform.
Challenges
Targeted solutions for
Data Accuracy
The client was facing significant challenges due to inconsistent and inaccurate data across their Oracle retail systems (SIM, RMS, WMS). These discrepancies create delays in identifying and resolving issues, which require time-consuming manual intervention. As a result:
– Data accuracy suffers, with frequent mismatches across platforms undermining trust in the client’s reports
– Efficiency in data handling is low, as reconciling large data volumes from multiple systems slows down the operation teams
– Operational decisions were impacted due to delays in surfacing and addressing data issues, affecting everything from inventory management to reporting and responsiveness
The client needed a solution that brings greater accuracy, consistency, automation, and speed to how their systems manage and align data. The ultimate goal is for operations to run with confidence and agility.
SOLUTIONS
Our tools for success
Data Reconciliation
To reduce manual intervention and improve data integrity, SmartOSC proposed implementing an automated data reconciliation engine that continuously monitors and aligns data across all systems.
Key components include:
– Data accuracy enhancement: Introduce automated validation rules to detect and resolve discrepancies across SIM, RMS, and WMS in real-time
– Process efficiency: Use intelligent matching algorithms to reconcile large data volumes faster and more accurately, minimizing the need for manual checks
– Operational stability: Generate exception reports with clear root cause indicators to accelerate resolution and maintain business continuity
Real-Time Monitoring Dashboard
To empower the support team with real-time insights and improve issue response times, we deployed an interactive dashboard that consolidates system health and data flow metrics.
Key features include:
– Automated data fetching: Utilize Apache Airflow to automate the extraction of data from various systems, ensuring timely and consistent updates for monitoring purposes
– Real-time metrics collection: Deploy Zabbix to continuously monitor server performance, capturing critical metrics such as CPU usage, memory, and uptime
– Centralized data aggregation: Route all collected data to Mimir, enabling seamless aggregation and storage for analysis
– Dynamic visualization: Use Grafana to display system health and data flows in a centralized, real-time dashboard, providing the support team with a clear operational overview
– Data flow tracking: Monitor end-to-end data movement across SIM, RMS, WMS, and other systems to detect anomalies early and ensure synchronization
– Proactive issue detection: Equip support teams with real-time visibility into system and data flow health, enabling immediate identification and resolution of issues before they affect business operations
