About the Company.
A major North American CPG manufacturer operating multiple production plants and a large distribution network. The organization depended heavily on accurate, timely reporting for production performance, schedule adherence, safety metrics, and supply chain decision making. Legacy reporting workflows and manual refresh processes created operational delays and inconsistent visibility across teams.
Solution Summary
Algoscale modernized the client’s fragmented analytics ecosystem by stabilizing SSIS pipelines, building standardized SQL data marts, and automating all reporting dashboards. A unified analytics layer was created for production, schedule adherence, and safety KPIs that are powered by automated refresh logic, historization, and proactive error monitoring. Leadership gained real-time visibility into plan performance with zero manual intervention.
Customer Challenges.
The client faced significant challenges from fragmented contract management and lack of automation
Delayed Plant Visibility
Slow and inconsistent reporting for production output and schedule adherence.
Manual, Error-Prone Refresh Cycles
Multiple dashboards require daily manual triggers.
Fragmented Reporting
Operations, safety (ESH), and supply chain teams worked in disconnected dashboards.
No Unified Analytics Layer
Lack of centralized KPIs, historization, or standardized data structures.
Unstable SSIS Pipelines
Frequent job failures, missing data, and no event level traceability.
Algoscale Solution.
Algoscale engineered a custom AI/NLP-based contract intelligence pipeline to automate translation, extraction, and governance
Stabilized & Optimized SSIS Pipelines with multi-day automated refresh logic (Day 1- Day 7)
Built standardized SQL Data Marts for production, supply chain scorecard, safety (ESH), and schedule adherence.
Delivered automated Power BI dashboards with drill downs, conditional logic, and role-based access.
Implemented Historization & SCD logic for accurate daily snapshots and dimensional consistency.
Enabled End-to-End lineage tracking with exception handling and table level diagnostics.
Set Up Job Monitoring & alerts for failure prediction, error tracing, and incident resolution acceleration.
Algoscale Differentiators.
Deep expertise in modernizing legacy SSIS/SQI-based manufacturing analytics.
Strong command of production, line-level, and safety KPI modeling across CPG environments,
Proven frameworks for automated refresh logic, historization, and operational lineage.
Rapid delivery of Power BI dashboards built for plant managers, ops, and leadership.
Ability to unify fragmented reporting into a single, automated analytics foundation.
Values Delivered.
Through this engagement, Algoscale delivered measurable improvements:
40% improvement in supply chain visibility through unified dashboards.
60% reduction in SSIS job failures after pipeline stabilization.
Reporting time is cut from 4 hours to ~15 minutes per cycle.
33% faster incident resolution using automated diagnostics and root cause detection.
100% automation of daily and period-based refresh workflows.
Technologies We Use.
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