Realizing 8x Efficiency and Strengthening Inventory Management Through Predictive Analytics

Client Overview

A US-based asset advisory and financial services firm managing large, high-frequency data volumes across its analytics and forecasting workflows. The firm supports critical decision-making for inventory planning, demand forecasting, and market analysis, relying heavily on accurate, timely insights to maintain operational agility and business performance.

Problem Statement

The firm faced growing bottlenecks across its analytics and forecasting workflows:

• ~2 million rows of daily data created processing delays, slowing insights and impacting business agility.

• Data inconsistencies compromised forecasting accuracy and increased operational risk.

• Slow turnaround time (TAT) in analytics caused missed opportunities and delayed decisions.

• Inefficient inventory and demand forecasting led to suboptimal stock planning and capital utilization.

These issues together created rising operational costs, reduced visibility, and challenges in making informed, timely decisions in a fast-changing market environment.

Solution Provided

Decimal Point Analytics implemented a predictive analytics framework that re-engineered the client’s data and forecasting foundation:

• Automated Data Ingestion & Cleansing

Standardized and cleaned incoming data streams, eliminating inconsistencies and reducing errors at scale.

• Advanced Forecasting Models

Deployed ARIMA and exponential smoothing models to enhance demand forecasting precision.

• High-Performance Data Infrastructure

Configured a Snowflake-optimized architecture to accelerate data storage, retrieval, and compute performance.

• Real-Time Quality Assurance

Implemented automated QA protocols aligned with governance frameworks to ensure audit-ready, decision-grade outputs.

Outcome

The transformation delivered measurable and strategic benefits:

• Data processing time dropped from 6 days to 2 hours, dramatically improving agility.
• 8x efficiency improvement through automated data workflows and SOP-driven processing.
• Workforce optimization analytics headcount reduced from 19 analysts to just 3 for the same workload.
• 17 new analytical outputs offered a comprehensive, multi-dimensional view of market conditions and inventory needs.

With standardized data, stronger forecasting, and faster turnaround, the firm significantly improved operational decision-making and inventory strategies.

Key Takeaway

By modernizing data pipelines and deploying predictive analytics, Decimal Point Analytics helped the client achieve transformative operational outcomes faster insights, improved accuracy, and a scalable analytics ecosystem built for long-term growth.

Ready to accelerate your firm’s operational performance with predictive analytics?
Connect with Decimal Point Analytics and start your transformation journey today.