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Flyjac Logistics, India

TLM International U.A.E

Case Studies

Case Study 1 - Retail

Case Study 1 - Retail

Customer:

One of the Biggest retailers in APAC

Location: India

The Challenges
  • Logistics Player with warehouses in 5 Indian cities
  • Handling both Industrial & e-Com flow
  • Diverse SKU Management both in B2B & B2C
  • Struggling with manual processes & worksheet based tracking
  • Delayed deliveries with very low accuracy leading to rework & revenue loss.
  • No Real Time visibility of available stock & how the same is dispersed in the warehouse.
  • Cluttered warehouse with very low utilization
The Solution
  • iStorePRO introduced to take over entire warehouse operations
  • Customer switched over their operations in stages to iStorePRO
  • Optimized PutAway flow achieved through intelligent planning.
  • Wave Picking based on incoming e-com orders registered in iStorePRO
  • Smart devices introduced to reduce visual picking errors
  • Returns Management introduced to track all returns optimally
The Benefits
  • On time deliveries increased from 60% to 95%
  • Picking errors reduced to less than 1%
  • Utilization of Warehouse space increased by 50% using AI Location Planning
  • Smart Devices enabled optimal use of resources with high accuracy
  • Achieved high predictability in operations
  • End to End Visibility of Receive, Store & Deliver pipelines
  • Service Model resulted in lower IT investments
  • Shored up Revenue by reducing rework & enabled quick ROI
Case Study 2 - Food Processing Industry

Case Study 2 - Food Processing Industry

Customer:

One of the largest processors of natural extracts.In Forbes List of 200 Best Companies Under a Billion Dollar Revenue in Asia-Pacific Region

Location: South India

Primary Goals
  • Maximize Warehouse Utilization
  • Ensure quick and accurate SKU Identification (RM and FG)
  • Reduce dependency on Labor
  • Minimize waiting time of trucks
  • Ensure Zero stocks due to ageing
  • Facilitate Real time MIS for top Management
Intervention
  • IStorePRO implemented in all six warehouses (RM-WIP-FG)
  • 100% system guided picking and put away
  • All operators using handheld smart devices
  • Double scan using put away and picking
  • Operator and equipment tracking
  • Auto Allocation based on FEFO\FIFO\Batch
  • Verify Scan prior to dispatch
  • Over 100 real time reports on hand held smart devices
Results
  • 99.7% error free dispatches
  • Zero stock wasted due to ageing
  • Enhanced productivity of Labor and Equipment
  • Machine critical MIS to senior Management
  • Significant boost to bottom line
Case Study 1 - Retail

Case Study 1 - Retail

Customer:

One of the Biggest retailers in APAC

Location: India

The Challenges
  • Logistics Player with warehouses in 5 Indian cities
  • Handling both Industrial & e-Com flow
  • Diverse SKU Management both in B2B & B2C
  • Struggling with manual processes & worksheet based tracking
  • Delayed deliveries with very low accuracy leading to rework & revenue loss.
  • No Real Time visibility of available stock & how the same is dispersed in the warehouse.
  • Cluttered warehouse with very low utilization
The Solution
  • iStorePRO introduced to take over entire warehouse operations
  • Customer switched over their operations in stages to iStorePRO
  • Optimized PutAway flow achieved through intelligent planning.
  • Wave Picking based on incoming e-com orders registered in iStorePRO
  • Smart devices introduced to reduce visual picking errors
  • Returns Management introduced to track all returns optimally
The Benefits
  • On time deliveries increased from 60% to 95%
  • Picking errors reduced to less than 1%
  • Utilization of Warehouse space increased by 50% using AI Location Planning
  • Smart Devices enabled optimal use of resources with high accuracy
  • Achieved high predictability in operations
  • End to End Visibility of Receive, Store & Deliver pipelines
  • Service Model resulted in lower IT investments
  • Shored up Revenue by reducing rework & enabled quick ROI
Case Study 2 - Food Processing Industry

Case Study 2 - Food Processing Industry

Customer:

One of the largest processors of natural extracts.In Forbes List of 200 Best Companies Under a Billion Dollar Revenue in Asia-Pacific Region

Location: South India

Primary Goals
  • Maximize Warehouse Utilization
  • Ensure quick and accurate SKU Identification (RM and FG)
  • Reduce dependency on Labor
  • Minimize waiting time of trucks
  • Ensure Zero stocks due to ageing
  • Facilitate Real time MIS for top Management
Intervention
  • IStorePRO implemented in all six warehouses (RM-WIP-FG)
  • 100% system guided picking and put away
  • All operators using handheld smart devices
  • Double scan using put away and picking
  • Operator and equipment tracking
  • Auto Allocation based on FEFO\FIFO\Batch
  • Verify Scan prior to dispatch
  • Over 100 real time reports on hand held smart devices
Results
  • 99.7% error free dispatches
  • Zero stock wasted due to ageing
  • Enhanced productivity of Labor and Equipment
  • Machine critical MIS to senior Management
  • Significant boost to bottom line
Case Study 1 - Retail

Case Study 1 - Retail

Customer:

One of the Biggest retailers in APAC

Location: India

The Challenges
  • Logistics Player with warehouses in 5 Indian cities
  • Handling both Industrial & e-Com flow
  • Diverse SKU Management both in B2B & B2C
  • Struggling with manual processes & worksheet based tracking
  • Delayed deliveries with very low accuracy leading to rework & revenue loss.
  • No Real Time visibility of available stock & how the same is dispersed in the warehouse.
  • Cluttered warehouse with very low utilization
The Solution
  • iStorePRO introduced to take over entire warehouse operations
  • Customer switched over their operations in stages to iStorePRO
  • Optimized PutAway flow achieved through intelligent planning.
  • Wave Picking based on incoming e-com orders registered in iStorePRO
  • Smart devices introduced to reduce visual picking errors
  • Returns Management introduced to track all returns optimally
The Benefits
  • On time deliveries increased from 60% to 95%
  • Picking errors reduced to less than 1%
  • Utilization of Warehouse space increased by 50% using AI Location Planning
  • Smart Devices enabled optimal use of resources with high accuracy
  • Achieved high predictability in operations
  • End to End Visibility of Receive, Store & Deliver pipelines
  • Service Model resulted in lower IT investments
  • Shored up Revenue by reducing rework & enabled quick ROI
Case Study 2 - Food Processing Industry

Case Study 2 - Food Processing Industry

Customer:

One of the largest processors of natural extracts.In Forbes List of 200 Best Companies Under a Billion Dollar Revenue in Asia-Pacific Region

Location: South India

Primary Goals
  • Maximize Warehouse Utilization
  • Ensure quick and accurate SKU Identification (RM and FG)
  • Reduce dependency on Labor
  • Minimize waiting time of trucks
  • Ensure Zero stocks due to ageing
  • Facilitate Real time MIS for top Management
Intervention
  • IStorePRO implemented in all six warehouses (RM-WIP-FG)
  • 100% system guided picking and put away
  • All operators using handheld smart devices
  • Double scan using put away and picking
  • Operator and equipment tracking
  • Auto Allocation based on FEFO\FIFO\Batch
  • Verify Scan prior to dispatch
  • Over 100 real time reports on hand held smart devices
Results
  • 99.7% error free dispatches
  • Zero stock wasted due to ageing
  • Enhanced productivity of Labor and Equipment
  • Machine critical MIS to senior Management
  • Significant boost to bottom line
Case Study 1 - Retail

Case Study 1 - Retail

Customer:

One of the Biggest retailers in APAC

Location: India

The Challenges
  • Logistics Player with warehouses in 5 Indian cities
  • Handling both Industrial & e-Com flow
  • Diverse SKU Management both in B2B & B2C
  • Struggling with manual processes & worksheet based tracking
  • Delayed deliveries with very low accuracy leading to rework & revenue loss.
  • No Real Time visibility of available stock & how the same is dispersed in the warehouse.
  • Cluttered warehouse with very low utilization
The Solution
  • iStorePRO introduced to take over entire warehouse operations
  • Customer switched over their operations in stages to iStorePRO
  • Optimized PutAway flow achieved through intelligent planning.
  • Wave Picking based on incoming e-com orders registered in iStorePRO
  • Smart devices introduced to reduce visual picking errors
  • Returns Management introduced to track all returns optimally
The Benefits
  • On time deliveries increased from 60% to 95%
  • Picking errors reduced to less than 1%
  • Utilization of Warehouse space increased by 50% using AI Location Planning
  • Smart Devices enabled optimal use of resources with high accuracy
  • Achieved high predictability in operations
  • End to End Visibility of Receive, Store & Deliver pipelines
  • Service Model resulted in lower IT investments
  • Shored up Revenue by reducing rework & enabled quick ROI
Case Study 2 - Food Processing Industry

Case Study 2 - Food Processing Industry

Customer:

One of the largest processors of natural extracts.In Forbes List of 200 Best Companies Under a Billion Dollar Revenue in Asia-Pacific Region

Location: South India

Primary Goals
  • Maximize Warehouse Utilization
  • Ensure quick and accurate SKU Identification (RM and FG)
  • Reduce dependency on Labor
  • Minimize waiting time of trucks
  • Ensure Zero stocks due to ageing
  • Facilitate Real time MIS for top Management
Intervention
  • IStorePRO implemented in all six warehouses (RM-WIP-FG)
  • 100% system guided picking and put away
  • All operators using handheld smart devices
  • Double scan using put away and picking
  • Operator and equipment tracking
  • Auto Allocation based on FEFO\FIFO\Batch
  • Verify Scan prior to dispatch
  • Over 100 real time reports on hand held smart devices
Results
  • 99.7% error free dispatches
  • Zero stock wasted due to ageing
  • Enhanced productivity of Labor and Equipment
  • Machine critical MIS to senior Management
  • Significant boost to bottom line