Empire Industries Limited is a 125-year-old, Mumbai-headquartered public limited company operating across diverse manufacturing and service divisions, including glass bottle manufacturing, machine tools, industrial equipment, commercial real estate, and food distribution. Empire Industries relies on a broad and growing base of physical assets and inventory across its business units.
Client location
Industry
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Focus area
The Challenge
Empire Industries operates several distinct business divisions, each with its own equipment, machinery, and inventory requirements. This structure meant that asset and inventory data lived in separate systems and spreadsheets, with no unified view across the organization.
Tracking the location, condition, and utilization of assets required manual coordination between teams, which slowed down decision-making and increased the risk of oversight. Inventory management faced a similar problem, with divisions managing stock levels independently.
Without a centralized system, Empire Industries lacked the visibility needed to plan asset maintenance, replacement, and inventory replenishment proactively, making decisions reactive rather than data-driven.
What did
Assystant do
Assystant implemented a dedicated Asset Management Solution designed to give Empire Industries a single, organization-wide system for tracking assets and managing inventory across every division.
- Established a centralized register to record and track physical assets
- Standardized inventory management processes across divisions
- Structured the system to scale as new assets and locations are added
Assystant worked closely with Empire Industries to map how each division tracked assets before consolidating these processes into one platform, preserving divisional flexibility while gaining organization-wide visibility.
The Results
- Centralized visibility into assets across all divisions
- Standardized inventory tracking company-wide
- Reduced manual effort in asset record-keeping
- Faster access to accurate asset data
- Stronger foundation for data-driven asset decisions

