Transcript Document

Sensor DRIVEN Business Network Software
© 2007
InSync
Software,
Inc..
© 2006
InSync
Software,
Inc..
1
www.insyncinfo.com
InSync
Software,
Inc.
Confidential
InSync
Software,
Inc.
Confidential
Sensor DRIVEN Business Network Software
2
Company & Product
Overview
Jan 2007
Sensor-Driven Business Network Software
© 2007
InSync
Software,
Inc..
© 2006
InSync
Software,
Inc..
www.insyncinfo.com
InSync
Software,
Inc.
Confidential
InSync
Software,
Inc.
Confidential
Sensor DRIVEN Business Network Software
3
InSync Software Inc. – Executive Summary
 Building Sensor Driven Applications
 RFID, Sensory Networks & eBusiness Software for Supply Chains
 Proven released products in mission critical deployments
● Automate repetitive manual activities
● Track and sense high value assets
● Extended ecosystem process management
 Focus Markets and Customers
 Complex process, high opportunity costs, compliance
● High Tech, Chemicals, Aerospace & Defense, Medical
● Supply chain participants in large business ecosystems
 Value proposition
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Strong supply chain processes experience in target markets
Rapid enablement of adaptive processes at the edge of the enterprise
Software as a Service for processes based on sensor networks
SAP Certified
 Founded in 2003:
 Venture funded: Rustic Canyon, Intel Capital March 2006
 Headquartered in San Jose, CA
© 2007
InSync
Software,
Inc..
© 2006
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Software,
Inc..
www.insyncinfo.com
InSync
Software,
Inc.
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Customers
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Partners
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InSync’s Point of View - Supply Chains
 Sensors, RFID networks are driving complex business processes
 Sensors converging to wireless 802.X and IP based standards
 Sensor Driven Shipping, Receiving, Item Track and Trace have priority
 Reverse Logistics, Material Condition and Environmental follow
 Visibility of physical events and assets across a business ecosystem
 Sharing of event data becoming prevalent for physical validation of asset
 EPC, EPC-IS, RosettaNet playing a strong role for process extensions
 Systems are working based on real world conditions
 Physical reality is represented systemically by sensor networks
 Actions and composite applications are rapidly deployed to manage boundary
processes
Sensors, Network, Applications, eBusiness converging to
provide synchronized business processes.
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The Integrated Supply Chain
Sensory Driven Process Hub
Application
Module
Application
Module
Application
Module
Application
Module
Application
Module
Application
Module
Sensor
Events
eBusiness
Transactions
Manufacturing
Distribution
In-Transit
Customs
In-transit
DC/Receiving
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Inc..
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Order
Fulfillment/
In-transit
Retail DC/
End-Customer
Reverse
Logistics
Product Movement
Product Movement
Manufacturing
Consigned
Inventory
Transportation, Customs, 3rd Party Carriers
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Retail
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Application Platform
Enterprise Systems
User Portal
InSync Edgeware

Connectivity to any sensory devices
 Active, Passive, Barcode, GPS, Temp, Pressure – Globally
 Real-time acquisition and logic processing
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Manage location, track and trace within ecosystem
 Initiate, associate tags/ID
 Smart shelf functions: check in/out, disaggregating, association of items to parents
 Associate business attributes from enterprise systems to items
Process visibility internal/external
 Dashboard for process, KPI management, and automation
 Provide process and exception visibility

 Fishbowl visibility to customers, process observers, ecosystem participants
© 2007
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Software,
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© 2006
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Scale Factor – InSync Solution Extensions
Repurpose InSync solutions for multiple functions, automation
Device, Systems Connectivity
Function
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
InSync
Solutions
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Asset track and trace
Shipping and receiving
Manufacturing and business process
control and automation
Material condition management
Maintenance and warranty management
Forecast to cash eBusiness based on
physical asset verification
ePedigree
RN, EDI, AS2, CIDX eBusiness
Transactions
Sensory inputs drive multiple processes using across a
business network.
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Case Study
Logistics Node Sensor-Driven Receiving
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Review of Sensor Driven Receiving Project
Project Scope
 Automate receipt of pallets of OEM products
using RFID in combination with RN
 Validate RFID reads with ASN
 Manage exceptions for unmatched or
missing items
 Reduce keystroke/data entry effort
Project Results
 Project deployed in 1 week
 Initial results:
OEM
DC
 20 Min/Pallet savings for receiving, $2.2M/yr. est.
 Process improvements identified to improve yield
 Automation of item count and retrieval
 Final results to be audited
 10-15 Basis point improvement in Gross
Margin
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Case Study
Sensor Driven Track and Trace
Harvest Management
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Case Study: Sensor Driven Item Tracking – Harvest Management
Physical Process,
RFID Deployment
INSYNC
SENSOR NETWORK
COMMAND AND CONTROL
INSYNC SENSOR DRIVEN ITEM TRACKING
Tag Association to Item
Ship, In Transit
Intermediate Transfer
INSYNC Site Manager
INSYNC Tracking Server
Transport Pack
Receiving, Put-away
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Enabler: InSync Hand-Held Framework
Context information
Enterprise Edge
Events and Actions
Application
Application
Framework
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Dashboard function
Aggregated view of process
Process owner interaction
Middleware interaction
 App framework
 Login, Settings
 Time Sync
 App Utility
 Logging, Monitoring
Process Control
Zone
 Device Management
 Device Independent
 Device Drivers
 Device Monitoring
 Communication Support
 HTTP, HTTPS
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Case Study: Harvest Management
Results
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Complete visibility to multiple harvests in-process
Events of interest posted in real-time monitor
KPI – Time-Fence-Violation managed real-time
Product and bin locations identified that are at risk
or expired
 Statistics available for process improvement
opportunities
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Edge Process Hub
Basis for Sensor-Driven collaborative processes
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Process Control and Information Exchange
Configure, Manage, Maintain
the Network
DC Sites
Tag data cache
Event capture
Query Services
Secured ONS Pointer
Services Library
Process Rules
SLA Management
Control
Zone X
Process
Hub
Control
Zone Y
Process Connector
Sensor Events, eBusiness
Control
Zone Z
OEMs
Physical Process
Retailers
Define, Manage, Control the
Process
Harvest Management Dashboard
Welcome: Joan Dahyes
Powered by InSync Software Inc.
As of Time: Thursday Aug.15, 2006 08:45
Location Summary
Location Details
Branded Hub deployable as
- Hosted solution
- Behind the firewall
- Stand alone
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© 2006
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Status
Yuma
Route Segment
Today
OnOn-Time
From Date
Late
Sacramento
Harvest
33
2
Salinas
In-Transit
24
4
Cooler Staging
33
2
Cooling Tube
11
1
Cooler
21
1
Total
89
8
Yuma
3
5
0
2
5
1
Receiving Yard
Event
FT Romaine In-Transit
08/15 08:36
2
Celery In-Transit
08/15 05:30
1
FT Romaine Finish Harvest
08/15 06:36
2
Celery Finish Harvest
08/15 05:30
1
FT Romaine start Harvest
08/15 04:36
2
Celery Start Harvest
KPI:
Marina
Harvest
2.0+
In-Transit
Export
Time Fence Violation
Cooler Staging
Cooler Tube
Cooler
Contact: Janq Quamu
eMail:
[email protected]
Phone: 215-555-1212
Process: Harvest
2.0
3
2
Hours
08/15 08:30
0.5-1.0 1.0-1.5 1.5-2.0
Time (Hours)
Work InIn-Process Details
Current Events
GRL
0-0.5
12
Displaying Page 1 of 1
Time: Thursday Aug.15, 2006 08:45
Time
To Date
Expired
# Bins
Receiving Yard
Receiving Yard
1
1.5
1.0
Bin Number
GRL
1111000102001
1
Expired
1111000102002
1
Status
Expired
1111000102003
1
Expired
1111000102005
1
At Risk
1111000103002
2
At Risk
1111000102300
1
At Risk
0.5
1
2
3
4
GRL
Export
www.insyncinfo.com
5
6
Displaying Page 1 of 6
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Evolution to Logistics, Distribution SaaS
Centralized
Services, SaaS
Model
Application,
Process Focus
Value
Item
Process
DC Sites
Ship
Control
Zone X
Receive
Receive
Item
Process
Foundation
Technology
Ship
Ship
Logistics
Hub
Control
Zone Y
Tag data cache
Event capture
Query Services
Secured ONS Pointer
Services Library
Process Rules
SLA Management
Process Connector
Sensor Events, eBusiness
Control
Zone Z
OEMs
Item
Process
Receive
Physical Process
Retailers
Receive
Item
Process
Ship
Function
Sensor network management
Sensory node process
- Ship, Receive, Track/Trace
Connect nodes into process logic
Extension of process to external partners
Ecosystem-wide model for SaaS
Services offering based on process enablement
E-Tailer enablement for order fulfillment, visibility
Benefit
Point solutions with specific process
benefit e.g. item receiving
Foundation for process extension
Higher level process, logic, efficiency
Tracking of items across boundaries
Visibility of process exceptions
End-to-end visibility and process execution
Viral Network model for business decision and action
Additional higher margin services offering
Differentiation within T&L industry
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Plan: Forecast - Commit Collaboration
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Monitor: Manage Hub Inventory
 Single view of all inventory related actions
 eBusiness transactions
 Sensor driven activity
 Context information from disparate systems
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Execute: Define Material Routes, Manage Fine-Grain Process
 Execute Node Process
 Define item based routing
 Expected locations and hand-off interfaces
 Define process KPIs; time-fence, material condition
 Define specific alerts and actions
 E.g. Shipping and Receiving
 Tracking items through process
 Process Command and Control
 Fine-Grain visibility of item based events
 EPC-IS standards and eBusiness Transactions
© 2007
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Sensory Process – Physical Read to Event Generation
Time
Interval
Device
Read
Event
Generation
Read Unit
Event
Read Unit
Read Unit
Event
Duplicate
Read Filter
Event
Read Unit
Event
Tag Scheme
ID & Filter
….
Sensor Data
Conversion
Event
State Machine
Logic
Read Unit
One Minute
Unit
Event
Event
Event
Generate
Zero to Y
events per CZ**
N Read
Units*
Configured Events Provide Relevant Context to
Raw Data Inputs
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22
Sensory Process – Event Generation to Process Orchestration
Events
Engine
SOA
Services
Services
Subscribe
to Events
Event
User
Interface
Process
Step
Process
Step
Events
Consumed
by Services
Event
Interfaces
Process
Step
Process
Step
B2B
Gateway
Process
Step
Event
Process
Step
Middleware
Process
Step
Posts Events
Read Unit
Event
Read Unit
Event
….
Read Unit
 Web services subscribe and consume events
Processing
Read Unit
Read Unit
 Events based on sensory inputs are posted
Event
Read Unit
Duplicate Read
Read Unit
Filter***
Event
Event
Event
Processing
Read Unit
State Machine
Read Unit Tag Scheme
ID & Filter
Logic
Read UnitDuplicate Read
Filter***
Read Unit
….
Read Unit
Read Unit Tag Scheme
Read Unit ID & Filter
….
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Event
Processing Event
State Machine
Logic
Duplicate Read
Filter***
Tag Scheme
ID & Filter
State Machine
Logic
 Orchestration of services enable higher level
business processes
Event
Event
Read Unit
Event
Control Zone
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Conclusion
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Conclusion
 Proven team, proven solutions
 InSync is a strong partner in Supply Chain
applications involving material processes across
system, geographic, business boundaries.
 InSync partnership resulting in significant
operational benefits for customers
 Accelerate Sensory Network applications
deployments
© 2007
InSync
Software,
Inc..
© 2006
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Inc..
www.insyncinfo.com
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Inc.
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Inc.
Confidential
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25
InSync Software Inc. – Executive Summary
 Founded in 2003: Venture-backed, Headquartered in Sunnyvale, CA
 Venture funded: Rustic Canyon, Intel Capital
 Building Sensor based Applications
 RFID, Sensory Networks & eBusiness Software
● Sense physical reality
● Act on real-world events…
…without system or geographical boundaries
 Focus Markets and Customers
 High Risk, High Value, High Velocity
● High Tech, Chemicals, Aerospace & Defense, Medical
● Supply, Distribution, Outsourced Manufacturing
 Value proposition
 Rapid enablement of real-time RFID and sensor based computing
 Know the where, when, what of materials in the process
 SAP Certified
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Thank You!
© 2007
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Inc..
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Software,
Inc..
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Inc.
Confidential
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