How Aetos Helped a Large FMCG Player
Go From Excel-Based Quality Checks to a Live Batch Intelligence System in 4 Days
In FMCG warehouses, shelf life is not just a number — it’s a financial deadline. Every missed alert, every aging batch, and every invisible quality issue quietly compounds into write-offs, stockouts, and lost sales. A large FMCG player approached Aetos to implement a WMS-backed operational intelligence layer capable of tracking SKU quality, shelf life decay, and batch-level risk across hundreds of live inventory batches. Traditional vendors estimated months. Aetos delivered the system in four days.
4 Days
System Delivery Timeline
100s
Live Inventory Batches
FIFO
Improved Adherence
AI
Assisted Development Workflow
Shelf Life Losses Were Happening Quietly Across the Warehouse
The client was operating a fast-moving FMCG warehouse managing multiple product categories, hundreds of active inventory batches, and thousands of operational decisions every week. Yet most quality tracking still lived inside Excel sheets and manual QC processes.
There were no live shelf-life alerts, no centralized batch visibility, and no structured way to evaluate product quality deterioration over time. Teams were making replenishment and dispatch decisions reactively — often without knowing which inventory was aging fastest.
No Batch-Level Visibility
Inventory could not be tracked intelligently at a batch level. Teams lacked real-time visibility into which inventory lots were approaching risk thresholds.
QC Processes Trapped in Excel
Quality checks relied heavily on manual spreadsheets, making it difficult to maintain consistency, identify patterns, or escalate quality deterioration proactively.
No Shelf-Life Intelligence
The warehouse had no structured alerting mechanism for shelf-life aging, creating hidden risks around expiry exposure, dead inventory accumulation, and avoidable write-offs.
Dispatch & Replenishment Blind Spots
Without quality-linked inventory visibility, dispatch prioritization and replenishment planning often depended on instinct instead of operational intelligence.
Aetos Built a Live Quality Intelligence Layer on Top of Warehouse Operations
Instead of treating this as a traditional WMS deployment, Aetos approached the problem as an operational intelligence challenge. The objective wasn’t just inventory visibility — it was enabling faster and smarter quality-driven decision making across the warehouse.
Using AI-assisted development workflows, the Aetos team rapidly designed and deployed a custom batch-linked quality analyzer capable of tracking operational risk signals in real time.
WMS Visibility Layer
- Batch-linked inventory visibility
- Improved FIFO-driven workflows
- Inventory aging visibility
- Live stock movement tracking
- Improved dispatch prioritization
Custom Quality Analyzer
- Packaging integrity scoring
- Temperature exposure tracking
- Shelf life remaining analysis
- Visual quality assessment
- Batch-linked QC scoring engine
AI-Assisted Development
- System delivered in four days
- Rapid workflow iteration cycles
- Compressed development timelines
- Faster customer feedback loops
- Production-ready deployment speed
The Warehouse Shifted From Reactive Inventory Handling to Proactive Quality Intelligence
The biggest transformation wasn’t just system implementation — it was operational behavior change. Teams now had visibility into inventory quality risk before issues escalated operationally.
Quality evaluation workflows became significantly faster because operational teams no longer depended entirely on disconnected Excel-based reviews.
Batch-level visibility and aging intelligence enabled better dispatch prioritization and improved FIFO execution across live inventory movement.
The replenishment team gained significantly better visibility into inventory health and aging patterns, reducing operational blind spots.
Instead of discovering quality degradation too late, the warehouse could now proactively identify batches requiring operational attention.
Traditional Enterprise Software Timelines Were Compressed Dramatically
One of the defining aspects of the project was execution speed. A system traditionally estimated as a multi-month custom software engagement was designed, built, and deployed in four days using AI-assisted engineering workflows.
For the client, this meant operational pain points were addressed almost immediately instead of entering a long enterprise software backlog cycle.
Tools like Claude and Cursor enabled the Aetos engineering team to dramatically reduce development timelines while still maintaining operational customization and production-grade implementation quality.
“In FMCG warehouses, quality deterioration rarely appears as one large failure. It accumulates silently through invisible aging inventory, delayed visibility, and operational blind spots. The goal was to make those risks visible before they became losses.”
Building Operational Intelligence for Modern FMCG Warehouses
Aetos helps FMCG enterprises combine warehouse visibility, quality intelligence, and AI-assisted operational systems to move faster and operate smarter.
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