With Shipzy, we have significantly reduced document errors, resulting in smoother customs clearance and improved customer satisfaction. It's easy to find all documents in one place. Show More
Tiles Exporter - Morbi
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With Shipzy, we have significantly reduced document errors, resulting in smoother customs clearance and improved customer satisfaction. It's easy to find all documents in one place. Show More
Tiles Exporter - Morbi
Chaman Lal Setia Exports Ltd. (CLSEL) is a publicly listed rice company with more than five decades of legacy and large-scale export operations. Its public materials position the business as a basmati rice miller, processor, exporter and major private-label packer, with multiple rice-processing locations.
As operational scale increased, coordinating export execution across teams and locations became more complex. Manual updates, follow-ups and process dependency created pressure on consistency, visibility and control.
CLSEL implemented Shipzy to move toward a more connected, structured and system-driven export execution environment.
Explore more about our Chaman Lal Setia process
High-volume, multi-location export execution needed stronger coordination. As CLSEL's operational scale increased, export execution became harder to coordinate across distributed teams and locations.
Manual dependency reduced visibility, slowed alignment and created pressure on operational consistency.
Multi-Location Coordination: Execution depended heavily on alignment between different teams and locations. When information moved through calls, messages or manual follow-ups, maintaining one consistent operational view became difficult.
Manual Dependency: Daily execution relied on repeated follow-ups and manual status updates. As transaction volume increased, this created additional coordination pressure.
Limited Workflow Visibility: Tracking the movement of live export activities across locations was difficult. Management needed better visibility into where each workflow stood and what required attention.
Process Inconsistency: At larger scale, maintaining the same process discipline across teams became increasingly challenging.
Execution Pressure: Higher operational volume increased the number of activities, dependencies and updates teams had to coordinate.
Customer: Chaman Lal Setia Exports Ltd. (CLSEL)
Industry: Basmati Rice Processing & Exports
Business Profile: Publicly listed rice exporter with high-volume, multi-location operations
Location: Haryana, India
Core Challenge: Manual coordination reduced workflow visibility and operational control
Old Way: Execution depended heavily on follow-ups and manual updates
New Way: Shipzy enabled more connected and structured export workflows
Outcome: Better visibility, stronger control and a more scalable execution model
Rice exports involve a large number of connected operational activities. For a business operating at CLSEL's scale, teams may need to coordinate:
CLSEL's public business information shows a significant basmati rice manufacturing and export operation with multiple rice mills and extensive processing and packing capabilities.
At this scale, execution cannot depend only on individuals collecting updates from different locations.
A high-volume rice export order can involve multiple connected stages:
Buyer Order
→ Rice Variety / SKU
→ Packing Requirement
→ Production / Stock Readiness
→ Quality & Packing
→ Dispatch Planning
→ Export Documents
→ Shipment Execution
For private-label and multi-SKU rice exports, packaging and shipment requirements can vary by buyer and market.
A change in one area can affect several downstream activities.
For example:
Packing requirement changes
can affect:
Bag Count
→ Packing Data
→ Dispatch Quantity
→ Shipment Documentation
→ Container Planning
When these updates are coordinated manually across multiple locations, the risk of delay and inconsistent information increases.
CLSEL needed an operating environment where workflows could move through defined stages instead of depending primarily on individuals to coordinate every handover.
The existing pattern looked like:
Distributed Operations
→ Manual Follow-Ups
→ Delayed Alignment
→ Limited Visibility
→ Higher Coordination Load
Shipzy helped move execution toward:
Connected Workflows
→ Clearer Process Movement
→ Better Visibility
→ Stronger Control
→ Scalable Execution
Shipzy was implemented to reduce manual dependency and bring greater structure to export operations.
The solution focused on five areas:
Reduced Manual Dependency: Shipzy helped reduce the pressure created by manual work and repeated coordination.
System-Led Execution: Processes moved toward structured workflow-based execution instead of depending primarily on manual follow-ups.
Better Coordination Across Locations: Connected workflows improved the movement of operational information across distributed teams.
Stronger Visibility & Control: Management gained better visibility into workflow movement and operational progress.
More Reliable Execution Flow: A more disciplined and connected operating environment helped improve consistency as operational scale increased.
| Before | With Shipzy |
|---|---|
| Cross-location execution dependent on manual alignment | More connected workflows across locations |
| Repeated calls and follow-ups for status | System-led workflow movement |
| Limited live execution visibility | Better operational visibility |
| Processes dependent heavily on individuals | More structured execution |
| Harder to maintain consistency at scale | Stronger process discipline |
| Higher volume increased coordination pressure | More scalable execution environment |
For a multi-location rice exporter, operational visibility needs to go beyond knowing whether an order is simply "in progress."
Teams need to understand:
Shipzy created a more structured workflow environment so operational movement could be tracked more consistently across teams and locations.
A connected export operating model can help coordinate:
Buyer Order Management: Keep commercial requirements and operational execution connected.
Production and Stock Readiness: Maintain visibility into whether required quantities are ready for shipment.
Packing Coordination: Track the quantities and packaging information needed for dispatch.
Export Documentation: Keep operational data connected with shipment documentation.
Shipment Execution: Track movement from readiness through dispatch and shipment activities.
Management Visibility: Provide a clearer view of pending work across export operations.
March 2026 — Workflow Assessment: Coordination gaps and operational workflow movement were reviewed.
March 2026 — System Structuring: More connected export execution workflows were designed.
April 2026 — Team Alignment: Workflow coordination was improved across locations and teams.
May 2026 — Process Integration: Execution moved further toward structured and system-led processes.
June 2026 — Go-Live & Stabilization: A more controlled operational environment was established for live execution.
A more scalable model for high-volume export execution. Shipzy helped CLSEL strengthen the operating model behind its export workflows.
Reduced Manual Dependency: Teams became less dependent on repeated manual updates and follow-ups.
More Structured Workflows: Operational activities moved through a more connected and defined execution process.
Better Visibility: Workflow movement became easier to track across daily export operations.
Stronger Operational Control: Structured workflows helped strengthen process discipline and execution consistency.
Scalable Execution: CLSEL gained a stronger operating model for managing future growth and increasing export complexity.
For large rice exporters, operational control depends on connecting activities across the entire order lifecycle.
A structured workflow can connect:
Buyer Order
→ Rice SKU
→ Packing Requirement
→ Production / Stock Readiness
→ QC & Packing
→ Dispatch Planning
→ Documentation
→ Shipment Execution
→ Operational Closure
This reduces the need for different teams to manually reconstruct the latest order status.
Chaman Lal Setia Exports' implementation shows how a large, multi-location rice exporter can move from coordination-heavy operations toward structured, system-led export execution.
By implementing Shipzy, CLSEL created more connected workflows, improved visibility across operational movement and reduced dependence on manual follow-ups.
The result was a stronger operating model designed to support high-volume rice exports with greater process discipline, control and scalability.
Rice exporters often manage combinations of:
CLSEL's public positioning as a major basmati rice processor, exporter and private-label packer makes these operating requirements particularly relevant to the context of the case study.
A structured execution system helps ensure increasing operational scale does not create the same increase in coordination dependency.
This operating model is relevant for businesses that:
Chaman Lal Setia Exports Ltd. is a publicly listed rice company involved in rice milling, processing, packing and exports. Its public materials position the company as a major basmati rice and private-label packing business.
As operational scale increased, manual coordination and process dependency created pressure on execution consistency, visibility and control. CLSEL implemented Shipzy to create a more structured and connected workflow environment.
The documented challenges included multi-location coordination, manual dependency, limited workflow visibility, process inconsistency and increasing execution pressure.
Shipzy helped CLSEL move toward system-led execution, improve coordination across locations, strengthen workflow visibility and reduce dependence on manual coordination.
Shipzy can help structure order workflows, production or stock readiness, documentation, shipment execution and operational visibility across teams and locations.
Yes. Better coordination across distributed teams and locations was one of the documented areas addressed by the implementation.
CLSEL's workflows became more structured and connected, operational visibility improved, manual dependency reduced and the business established a more scalable execution model.
The documented implementation began with workflow assessment and system structuring in March 2026, followed by team alignment and process integration, with go-live and stabilization in June 2026.
If your rice export business operates across multiple teams, facilities or product lines, increasing volume should not mean increasing dependence on manual follow-ups.
Shipzy helps create a more structured export execution environment with better workflow visibility, coordination and operational control.
Book a Shipzy DemoBring one live rice export order and see how Shipzy can support your workflow from operational readiness to shipment execution.