SlideShare a Scribd company logo
1 of 6
Download to read offline
ware
Real estate and labor – these are, by far, the top sources of expenditure
incurred by distribution centers, warehouses and similar facilities. Both are
closely tied to inventory management – the bigger the business, the larger the
DC, and the more the number of people required to deal with inventory
operations. With the ever-increasing velocity of supply chain, and relentless
need for higher operational efficiency, technology plays a central role in
helping DC stakeholders optimize their real estate and labor investments.
Whether it is specialized equipment that can navigate very narrow aisles or
autonomous vehicles that allow human labor to be freed up for higher-value
activities, automation is playing a central role in the disruption of the supply
chain industry, including drones for logistics. Inventory counts are part of this
journey – and one of the keys to the successful digital transformation of DC
operations.
While it’s a fond hope that the most advanced warehouse automation
technologies will make cycle counts redundant one day, the reality is that 90%
of distribution centers today have to do random and/or full cycle counts ever
so often – or risk shrinkage, stockouts, customer dissatisfaction and loss of
market share. The danger of not counting distribution center inventory
frequently enough is the compounding of the error in inventory records stored
in the warehouse management system.
Imagine a DC housed over a million square feet. On average, 40% of the area
is likely to be racked. That’s 400,000 sq ft of racks, meant to store full pallets,
partials and individual cartons. As real estate becomes expensive, more and
more of the aisles in this area will change from traditional (i.e. 10 to 12 feet
wide) to VNA (i.e. 6 feet wide or less). Similarly, the rack heights will grow from
25 feet to nearly 40 feet. Assuming standard bays (~ 10 feet in length), aisle
How Cycle Counts Help Match Digital Twins to Reality
Full Counts Too Expensive? But Are Random Counts Enough?
flytware.com
length averaging 200 ft and six-high racking, this works out to over 100 aisles
(over 200 racks) and over 10,000 locations.
Even if all 10,000 locations had full pallets with just one location identifier and
one barcode to be scanned, it would take over 100 man-hours to do a full
cycle count. In reality, many of these locations may have individual items with
front-facing barcodes and thus dozens of barcodes to be scanned for each
location. Thus, a full cycle count could take ten times as many man-hours.
That’s 4 people working in 1 shift for an entire month – an expensive,
time-consuming exercise! No wonder inventory stakeholders have made
peace with random cycle counts – with single-digit percentage of inventory
being counted and used to statistically arrive at an ‘equivalent’ full count.
flytware.com
To improve the accuracy of random cycle counts, data collected over time is
analyzed by warehouse management systems to inform which locations
should be counted, how often and when, based on location inaccuracies
observed in the past. Each day, each cycle counter is automatically assigned
a set of tasks by the WMS – the data thus manually collected is fed back into
the WMS to match the ‘digital twin’ to its real-world counterpart. Of course,
climbing ladders, using forklifts to scan barcodes 30 feet in the air, and
stretching arms to ensure that each barcode is correctly scanned remains
the ugly reality of manual inventory counts.
While inventory audits may not be mandatory to private (i.e. unlisted)
companies, those in the 3rd party logistics (3PL) business do have service level
agreements (SLAs) with their customers that are subject to internal and/or
external audits. The business driver here is not financial regulation but the
importance of inventory accuracy to the 3PL customer – who is relying on
data from each 3PL facility to inform their supply chain and ensure the
Quarter-end and year-end inventory audits are a way of life for GMs of
distribution centers owned by listed companies. Financial regulations require
that the entire inventory be accurately accounted for so that the
corresponding line item on the company’s balance sheet is correctly reported
in the tax filings. These inventory audits tend to be resource-intensive; besides
the full-time resources involved in daily inventory counts, an army of part-time
and/or over-time staff is brought in, so that the entire distribution center
inventory can be counted in a relatively short period of time.
In fact, the less the frequency of regular cycle counts, the more challenging is
the audit count, since there are likely to be more and larger discrepancies
between what’s on the shelf and what’s in the warehouse management
system. These audits have a much bigger impact than just the time & money
involved in the labor and equipment, viz.
Inventory Audits Are A Must, No Matter How Long They Take!
Customer SLAs Are Sacrosanct for 3PL Providers
The entire facility might have to be shutdown, thus harming fulfillment
metrics and resulting in loss of revenue,
Theft, misplaced inventory, loss of perishable goods, etc. all will raise
auditor concerns that require immediate resolution – further delaying
the shut-down,
The inherent lack of accuracy & repeatability of such laborious tasks –
combined with the lack of traceability of manual counts – may hinder
the resolution of audit queries.
flytware.com
satisfaction of the end customers. The direct revenue impact from timely
order fulfillment – or lack thereof – makes inventory-related SLAs an important
determinant of 3PL success.
The nature of 3PL business models dictates that 3PL customers have direct,
automated visibility into the inventory data at 3PL facilities – making manual
inventory counting increasingly ineffective. Ideally, customers want their own
IT systems to proactively trigger inventory searches, counts and SLA audits –
via the 3PL provider’s WMS or IT infrastructure.
It is but obvious that automated inventory counts – especially those that
leverage cost-effective, reliable, autonomous drones and intelligent
automation software – are bound to disrupt the way inventory is managed at
DCs. With the possibility of full-cycle counts much more frequently,
quarter-end and year-end audits will become far more manageable – that
too without the pain of hunting for over-time staff or shutting down the entire
facility. Drones and logistics are thus turning out to be an ideal match w.r.t the
promise of automation.
Drones used in logistics can do the inventory management tasks at-least 3X
(and possibly 10X for case reserve) faster than manual counts. Accessible
commercially via a SaaS model, such drone solutions tap into existing budget
allocations, with minimal capital investment – resulting in payback periods in
months, not years! In fact, the biggest advantage of drones in logistics is likely
to be the possibility of full-cycle counts done daily – with deployments of
dozens of drones for distribution centers in parallel.
—
The Time Is Ripe For Drones In Distribution Centers
flytware.com
flytware.com
ware
Streamline your DC inventory audits, and honor your 3PL customer SLAs, by
deploying drone solutions that come with live video feeds, date-wise image
archives, and location-wise barcode data.
Write to us at info@flytbase.com or schedule a call with the FlytWare team.

More Related Content

Similar to Impact of drones in logistics & distribution center

How mobile printing benefits 2
How mobile printing benefits 2How mobile printing benefits 2
How mobile printing benefits 2
Dynamic Systems
 
Project Proposal Sample: RFID on Warehouse Management System
Project Proposal Sample: RFID on Warehouse Management SystemProject Proposal Sample: RFID on Warehouse Management System
Project Proposal Sample: RFID on Warehouse Management System
Cheri Amour Calicdan
 
Learning ObjectivesAfter completing this chapter, you shou.docx
Learning ObjectivesAfter completing this chapter, you shou.docxLearning ObjectivesAfter completing this chapter, you shou.docx
Learning ObjectivesAfter completing this chapter, you shou.docx
SHIVA101531
 
White_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
White_Paper-Tilt-Tray-Sorter-Optimization-ReddwerksWhite_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
White_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
phunckler
 

Similar to Impact of drones in logistics & distribution center (20)

SOLE_PUBLICATION_2001
SOLE_PUBLICATION_2001SOLE_PUBLICATION_2001
SOLE_PUBLICATION_2001
 
Scm
ScmScm
Scm
 
SCM
SCMSCM
SCM
 
Walmart scm
Walmart scmWalmart scm
Walmart scm
 
Walmart supply chain management
Walmart supply chain managementWalmart supply chain management
Walmart supply chain management
 
Retail Distribution White Paper
Retail Distribution White Paper Retail Distribution White Paper
Retail Distribution White Paper
 
How mobile printing benefits 2
How mobile printing benefits 2How mobile printing benefits 2
How mobile printing benefits 2
 
Project Proposal Sample: RFID on Warehouse Management System
Project Proposal Sample: RFID on Warehouse Management SystemProject Proposal Sample: RFID on Warehouse Management System
Project Proposal Sample: RFID on Warehouse Management System
 
Transforming Inventory Management System using MEAN Stack
Transforming Inventory Management System using MEAN StackTransforming Inventory Management System using MEAN Stack
Transforming Inventory Management System using MEAN Stack
 
Impact of cloud computing on asset & inventory management 5 facts you shouldn...
Impact of cloud computing on asset & inventory management 5 facts you shouldn...Impact of cloud computing on asset & inventory management 5 facts you shouldn...
Impact of cloud computing on asset & inventory management 5 facts you shouldn...
 
WP-US-HighJump-3PL-Technology
WP-US-HighJump-3PL-TechnologyWP-US-HighJump-3PL-Technology
WP-US-HighJump-3PL-Technology
 
Periodic vs. perpetual inventory system in modern manufacturing
Periodic vs. perpetual inventory system in modern manufacturingPeriodic vs. perpetual inventory system in modern manufacturing
Periodic vs. perpetual inventory system in modern manufacturing
 
Learning ObjectivesAfter completing this chapter, you shou.docx
Learning ObjectivesAfter completing this chapter, you shou.docxLearning ObjectivesAfter completing this chapter, you shou.docx
Learning ObjectivesAfter completing this chapter, you shou.docx
 
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
 
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
How RFID is Helping Retailers See Labor Differently in the New Era of Omnicha...
 
WMS Integration: A step closer to smart warehousing
WMS Integration: A step closer to smart warehousingWMS Integration: A step closer to smart warehousing
WMS Integration: A step closer to smart warehousing
 
B2b
B2bB2b
B2b
 
Inventory Management: How Incremental Improvements Drive Big Gains
Inventory Management: How Incremental Improvements Drive Big GainsInventory Management: How Incremental Improvements Drive Big Gains
Inventory Management: How Incremental Improvements Drive Big Gains
 
Smart material management
Smart material managementSmart material management
Smart material management
 
White_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
White_Paper-Tilt-Tray-Sorter-Optimization-ReddwerksWhite_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
White_Paper-Tilt-Tray-Sorter-Optimization-Reddwerks
 

More from Raman Kataria

More from Raman Kataria (7)

Drone automation in warehouse 4.0
Drone automation in warehouse 4.0Drone automation in warehouse 4.0
Drone automation in warehouse 4.0
 
Drones In Warehousing: 10 success factors to consider
Drones In Warehousing: 10 success factors to considerDrones In Warehousing: 10 success factors to consider
Drones In Warehousing: 10 success factors to consider
 
Smart Warehouse: The present and future of warehousing operations
Smart Warehouse: The present and future of warehousing operationsSmart Warehouse: The present and future of warehousing operations
Smart Warehouse: The present and future of warehousing operations
 
Augment ABC inventory analysis using drones in warehouses
Augment ABC inventory analysis using drones in warehousesAugment ABC inventory analysis using drones in warehouses
Augment ABC inventory analysis using drones in warehouses
 
Aerial Inventory Counts at IAG Cargo
Aerial Inventory Counts at IAG CargoAerial Inventory Counts at IAG Cargo
Aerial Inventory Counts at IAG Cargo
 
Fully autonomous aerial scans of warehouse bulk storage
Fully autonomous aerial scans of warehouse bulk storageFully autonomous aerial scans of warehouse bulk storage
Fully autonomous aerial scans of warehouse bulk storage
 
Fully autonomous aerial scans of case reserve stock
Fully autonomous aerial scans of case reserve stockFully autonomous aerial scans of case reserve stock
Fully autonomous aerial scans of case reserve stock
 

Recently uploaded

Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
FIDO Alliance
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
FIDO Alliance
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
Muhammad Subhan
 

Recently uploaded (20)

Generative AI Use Cases and Applications.pdf
Generative AI Use Cases and Applications.pdfGenerative AI Use Cases and Applications.pdf
Generative AI Use Cases and Applications.pdf
 
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
(Explainable) Data-Centric AI: what are you explaininhg, and to whom?
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Overview of Hyperledger Foundation
Overview of Hyperledger FoundationOverview of Hyperledger Foundation
Overview of Hyperledger Foundation
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
 
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on ThanabotsContinuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
Continuing Bonds Through AI: A Hermeneutic Reflection on Thanabots
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
Observability Concepts EVERY Developer Should Know (DevOpsDays Seattle)
 
How to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cfHow to Check CNIC Information Online with Pakdata cf
How to Check CNIC Information Online with Pakdata cf
 
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptxCyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
Cyber Insurance - RalphGilot - Embry-Riddle Aeronautical University.pptx
 
AI mind or machine power point presentation
AI mind or machine power point presentationAI mind or machine power point presentation
AI mind or machine power point presentation
 
JavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuideJavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate Guide
 
Portal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russePortal Kombat : extension du réseau de propagande russe
Portal Kombat : extension du réseau de propagande russe
 
2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch Tuesday
 
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...Hyatt driving innovation and exceptional customer experiences with FIDO passw...
Hyatt driving innovation and exceptional customer experiences with FIDO passw...
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
“Iamnobody89757” Understanding the Mysterious of Digital Identity.pdf
 
Google I/O Extended 2024 Warsaw
Google I/O Extended 2024 WarsawGoogle I/O Extended 2024 Warsaw
Google I/O Extended 2024 Warsaw
 
Syngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdfSyngulon - Selection technology May 2024.pdf
Syngulon - Selection technology May 2024.pdf
 

Impact of drones in logistics & distribution center

  • 2. Real estate and labor – these are, by far, the top sources of expenditure incurred by distribution centers, warehouses and similar facilities. Both are closely tied to inventory management – the bigger the business, the larger the DC, and the more the number of people required to deal with inventory operations. With the ever-increasing velocity of supply chain, and relentless need for higher operational efficiency, technology plays a central role in helping DC stakeholders optimize their real estate and labor investments. Whether it is specialized equipment that can navigate very narrow aisles or autonomous vehicles that allow human labor to be freed up for higher-value activities, automation is playing a central role in the disruption of the supply chain industry, including drones for logistics. Inventory counts are part of this journey – and one of the keys to the successful digital transformation of DC operations. While it’s a fond hope that the most advanced warehouse automation technologies will make cycle counts redundant one day, the reality is that 90% of distribution centers today have to do random and/or full cycle counts ever so often – or risk shrinkage, stockouts, customer dissatisfaction and loss of market share. The danger of not counting distribution center inventory frequently enough is the compounding of the error in inventory records stored in the warehouse management system. Imagine a DC housed over a million square feet. On average, 40% of the area is likely to be racked. That’s 400,000 sq ft of racks, meant to store full pallets, partials and individual cartons. As real estate becomes expensive, more and more of the aisles in this area will change from traditional (i.e. 10 to 12 feet wide) to VNA (i.e. 6 feet wide or less). Similarly, the rack heights will grow from 25 feet to nearly 40 feet. Assuming standard bays (~ 10 feet in length), aisle How Cycle Counts Help Match Digital Twins to Reality Full Counts Too Expensive? But Are Random Counts Enough? flytware.com
  • 3. length averaging 200 ft and six-high racking, this works out to over 100 aisles (over 200 racks) and over 10,000 locations. Even if all 10,000 locations had full pallets with just one location identifier and one barcode to be scanned, it would take over 100 man-hours to do a full cycle count. In reality, many of these locations may have individual items with front-facing barcodes and thus dozens of barcodes to be scanned for each location. Thus, a full cycle count could take ten times as many man-hours. That’s 4 people working in 1 shift for an entire month – an expensive, time-consuming exercise! No wonder inventory stakeholders have made peace with random cycle counts – with single-digit percentage of inventory being counted and used to statistically arrive at an ‘equivalent’ full count. flytware.com
  • 4. To improve the accuracy of random cycle counts, data collected over time is analyzed by warehouse management systems to inform which locations should be counted, how often and when, based on location inaccuracies observed in the past. Each day, each cycle counter is automatically assigned a set of tasks by the WMS – the data thus manually collected is fed back into the WMS to match the ‘digital twin’ to its real-world counterpart. Of course, climbing ladders, using forklifts to scan barcodes 30 feet in the air, and stretching arms to ensure that each barcode is correctly scanned remains the ugly reality of manual inventory counts. While inventory audits may not be mandatory to private (i.e. unlisted) companies, those in the 3rd party logistics (3PL) business do have service level agreements (SLAs) with their customers that are subject to internal and/or external audits. The business driver here is not financial regulation but the importance of inventory accuracy to the 3PL customer – who is relying on data from each 3PL facility to inform their supply chain and ensure the Quarter-end and year-end inventory audits are a way of life for GMs of distribution centers owned by listed companies. Financial regulations require that the entire inventory be accurately accounted for so that the corresponding line item on the company’s balance sheet is correctly reported in the tax filings. These inventory audits tend to be resource-intensive; besides the full-time resources involved in daily inventory counts, an army of part-time and/or over-time staff is brought in, so that the entire distribution center inventory can be counted in a relatively short period of time. In fact, the less the frequency of regular cycle counts, the more challenging is the audit count, since there are likely to be more and larger discrepancies between what’s on the shelf and what’s in the warehouse management system. These audits have a much bigger impact than just the time & money involved in the labor and equipment, viz. Inventory Audits Are A Must, No Matter How Long They Take! Customer SLAs Are Sacrosanct for 3PL Providers The entire facility might have to be shutdown, thus harming fulfillment metrics and resulting in loss of revenue, Theft, misplaced inventory, loss of perishable goods, etc. all will raise auditor concerns that require immediate resolution – further delaying the shut-down, The inherent lack of accuracy & repeatability of such laborious tasks – combined with the lack of traceability of manual counts – may hinder the resolution of audit queries. flytware.com
  • 5. satisfaction of the end customers. The direct revenue impact from timely order fulfillment – or lack thereof – makes inventory-related SLAs an important determinant of 3PL success. The nature of 3PL business models dictates that 3PL customers have direct, automated visibility into the inventory data at 3PL facilities – making manual inventory counting increasingly ineffective. Ideally, customers want their own IT systems to proactively trigger inventory searches, counts and SLA audits – via the 3PL provider’s WMS or IT infrastructure. It is but obvious that automated inventory counts – especially those that leverage cost-effective, reliable, autonomous drones and intelligent automation software – are bound to disrupt the way inventory is managed at DCs. With the possibility of full-cycle counts much more frequently, quarter-end and year-end audits will become far more manageable – that too without the pain of hunting for over-time staff or shutting down the entire facility. Drones and logistics are thus turning out to be an ideal match w.r.t the promise of automation. Drones used in logistics can do the inventory management tasks at-least 3X (and possibly 10X for case reserve) faster than manual counts. Accessible commercially via a SaaS model, such drone solutions tap into existing budget allocations, with minimal capital investment – resulting in payback periods in months, not years! In fact, the biggest advantage of drones in logistics is likely to be the possibility of full-cycle counts done daily – with deployments of dozens of drones for distribution centers in parallel. — The Time Is Ripe For Drones In Distribution Centers flytware.com
  • 6. flytware.com ware Streamline your DC inventory audits, and honor your 3PL customer SLAs, by deploying drone solutions that come with live video feeds, date-wise image archives, and location-wise barcode data. Write to us at info@flytbase.com or schedule a call with the FlytWare team.