A Single Source of Truth for All Warehouse Transactions
Wayfair partnered with 7Span to eliminate siloed financial data and build a centralized ledgering system for warehouse transactions. By integrating 3P WMS streams, modernizing legacy data flows, and scaling real-time processing, we enabled finance teams to track costs, reconcile inventory, and operate with complete confidence in their data.
Introduction
Wayfair’s finance operations relied on fragmented, outdated WMS tables spread across fulfillment centers. These legacy systems were slow, interconnected, and nearing deprecation creating risk for critical processes like cost tracking, financial analysis, and inventory reconciliation.
The finance team needed a new, unified source of truth that:
- No longer relied on direct access to fulfillment/WMS databases
- Standardized inbound data from 3rd-party warehouse systems
- Supported real-time increments and decrements to inventory
- Provided accurate cost and ledgering visibility
- Scaled with exponential data growth
The goal: decouple finance from operational systems and build a centralized ledger they can trust.
The Challenge
This wasn’t a simple build—massive operational complexities had to be resolved:
- Legacy WMS tables contained huge volumes of historical data
- Real-time migration slowed drastically as data grew
- Kafka scaling didn’t fully solve throughput bottlenecks
- A hidden DB trigger was inserting records into another table without proper indexing
- Finance operations depended on fast, correct ledger data (delays = financial blockers)
Our Approach
We built a centralized inventory ledger system designed for long-term scalability and financial accuracy.
Integration with 3P WMS Systems
Ingested inbound data streams and transformed them into standardized financial formats.
Real-Time Ledgering
Enabled immediate inventory increments and decrements to power downstream cost and analytics workflows.
Legacy Migration Support
Ran real-time migration jobs to safely port old WMS data into the new system.
Monitoring & Alerting
Added observability to detect lag, anomalies, and processing delays.
Scalability Fixes
Investigated and resolved database bottlenecks through indexing, Kafka partition optimization, and parallel consumer strategies.
The Impact
60%
Faster Ledger Processing
99.9%
Data Accuracy
100%
Decoupling of Finance from WMS
10x
Faster Expansion Enablement
Save up to 30% on your salaries &
developmental costs.
Save up to 30% on your salaries &
developmental costs.
Save up to 30% on your salaries &
developmental costs.
Save up to 30% on your salaries &
developmental costs.
Save up to 30% on your salaries &
developmental costs.
Save up to 30% on your salaries &
developmental costs.
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