Overview

A global consumer goods company approached VITA Solutions with a critical challenge in their operations and sales value chain:

“Our sales forecasts are often inaccurate, fulfillment delays are common, and disconnected systems between sales, warehouse, and logistics make it hard to meet customer demand efficiently.”

Instead of applying a generic analytics solution, we designed a Data-Driven Supply Chain Optimization Framework — connecting sales, inventory, and fulfillment systems through intelligent data models and real-time analytics.

The objective was clear: enhance sales funnel efficiency, reduce delays, and create an adaptive, insight-driven supply chain.

Industry

Consumer Goods

Timeline

Ongoing

Services

Design, Development, and Deployment

Achievements
35%
Faster Order Fulfillment
50%
Reduction in Manual Reconciliation Time
60% Improvement in Forecast Accuracy.
35% improvement in order fulfillment speed through real-time coordination.
20% increase in sales funnel conversion from better availability and delivery performance.
25% reduction in inventory holding costs via predictive demand planning.
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Project Challenges
changes

Fragmented sales and supply chain data across multiple systems

changes

Delays in order fulfillment due to lack of real-time inventory visibility

changes

Manual reconciliation between sales forecasts and actual stock levels

Inefficient demand planning causing overstock or missed sales

timeline

Inconsistent customer experience due to unpredictable delivery timelines

How We Helped

Building an Integrated Data & Analytics Framework

Our approach involved

VITA implemented a data modernization and analytics solution that unified data streams across sales, logistics, and fulfillment systems.

Phase 1
Data Integration

Consolidated data from ERP, CRM, and warehouse systems into a centralized Azure Data Lakehouse.

Phase 2
Real-Time Monitoring

Built live dashboards for sales funnel visibility and fulfillment tracking using Power BI.

Phase 3
Predictive Analytics

Leveraged Azure Machine Learning to forecast demand, optimize stock, and recommend reorders.

Phase 4
Automation

Enabled process triggers for order fulfillment and replenishment based on real-time data.

Phase 5
Governance

Established data quality rules and compliance alignment with enterprise standards.

Technologies Used

data-factory Power-Bi Terraform_Logo Azuremachinelearning SQLsynapse
30%
Reduction in Delivery Variability
40%
Reduced Stockouts and Missed Sales
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Tangible Results, Real Business Value

Within just a few months, the client achieved measurable impact across their sales and operations ecosystem

100%
Connected Sales-to-Fulfillment Data Flow
3×
Faster Decision-Making
35% improvement in order fulfillment speed through real-time coordination.
25% reduction in inventory holding costs via predictive demand planning.
20% increase in sales funnel conversion from better availability and delivery performance.
Unified sales-to-supply visibility, driving informed decision-making. Stronger Collaboration Across Sales, Supply Chain & Warehouse Teams
Automated workflows synced order intake → picking → packing → dispatch, minimizing delays and removing dependency on manual updates.
By integrating sales and supply data through intelligent automation and analytics, the client not only improved fulfillment efficiency but also established a resilient and scalable supply chain foundation for sustained growth.

Key Performance Indicators

System Response Time< 200ms
Daily Active Users+150%
Error Rate< 0.1%
Customer Retention94%
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VITA Solutions is a next-generation AI company helping enterprises adopt, scale, and govern artificial intelligence responsibly. We provide end-to-end services, industry-specific solutions, and unified platforms — enabling CIOs, data leaders, and legal teams to adopt and govern AI with confidence, speed, and compliance.

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