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ThroughPut
Total Time to Value3 Months
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Independent Implementation
Total Time to Value12 Months

ThroughPut Integration
Rapidly plug-in existing data streams with in-built connectors

Data Lake, Warehouse Setup
6-9 Months
Assuming the strategy is defined, resources are available and all that is left is to implement it.

Validation and Ready For Use
Ready-to-Deploy confirmed with Client Solution Team. Start extracting value in less-than a single fiscal year quarter.


Analytics Vendor Selection
1-2 Months
Comparative Analytics solutions do not easily scale the volume of data, dynamic computations and multi-dimensionality.

Switch-over to Data Lake or Warehouse
Seamless switch-over to the end user when ready without disrupting operations.

Business Case Understanding
1 Month
Review requirements from the business users, construct the development plan and assign analytics resources between internal teams within the client.
Benefits of ThroughPut
AI-powered, scalable, ready-to-use Software solution with proven ROI-lift.
Fast-track AI adoption with pre-built, industry-specific Data Structures and Business Logic.
12 Months

POC Solution / Validation
3 Months
Requires domain knowledge for the use-cases. Carve-out the time and resources of operations experts to validate the solution.

Continuous Maintenance and Support
Internal resources dedicated to support the evolving needs of the team.
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Why Customers [qodef_highlight background_color=”” color=”#ffffff”]Choose ThroughPut?[/qodef_highlight]
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One Product. Endless Possibilities.
[qodef_highlight background_color=”” color=”#1b1c4f”]Infinite Impact[/qodef_highlight]
High-Level
Where to Focus
Get a holistic view of financial state and health of the business, and improvement areas for continuous profitability
Mid-Level
Key-Drivers
Excess Working Capital
Top Inventory Spend
Operations Expense
ThroughPut Trend
Cash Conversion Cycle
Granular Level
Tactical Plan
Stock Buffer Management
Supply / Demand Variability
Recommended Stock Levels
High-Level
Where to Focus
Assess ability to meet future demand, highlight risks and propose mitigation strategies
Mid-Level
Key-Drivers
Demand Segmentation
Demand Sensing
Lost Sales
Operations Constraints
Granular Level
Tactical Plan
Demand Events
Trends & Influencers
Forecast
High-Level
Where to Focus
Unlock additional hidden capacity to efficiently balance production load of processes over time
Mid-Level
Key-Drivers
Bottleneck Detection
Asset Performance & Reliability
Capacity Utilization
Lost Yield
Granular Level
Tactical Plan
Production Waterfall
RCA
OEE
High-Level
Where to Focus
Prioritize items based on logistics costs, lost sales opportunities, logistics spend- all the way from supplier to DC, DC to DC, DC to Store, and Store to Customer
Mid-Level
Key-Drivers
End-to-End Distribution Flow
On-time In-full Performance (OTIF)
Logistics & Allocation Inefficiences
Track Flow By Volume, Shipment, Count, Sales
Granular Level
Tactical Plan
Logistics Cost
SKU Ranking
Lost Sales
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Key Benefits [qodef_highlight background_color=”” color=”#1b1c4f”]of ThroughPut[/qodef_highlight]
Realize Software ROI in excess of 50x
Over 600x faster insights for improved Lead Times, Defect Rates, Cycle Times
Improve Labor Productivity by 30% or more
Decrease Inventory by over 20%
Reduce lead time by
over 30%
Dozens of best-in-class operations management
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Getting [qodef_highlight background_color=”” color=”#ffffff”]Started[/qodef_highlight]
Easy to Win!
ThroughPut Pilot
12xAchieved ROI
- Full end-to-end Solution
- Determine Monetization Potential of Data & realizable ROI
- Access All Data & Existing Legacy Sources
- Cloud, Hybrid, On-Prem
Ready to Scale!
ThroughPut Enterprise
40xAchieved ROI
- Auto-ETL
- Real-Time Operational Improvements
- Continuous Free-Cash-Flow Tracking
- Expanded API, Connector & Data Load Support
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Award-Winning Product with
[qodef_highlight background_color=”” color=”#1b1c4f”]Proven Expertise across Multiple Industries[/qodef_highlight]
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Improve Material Flow and Free Cash Flow
[qodef_highlight background_color=”” color=”#ffffff”]Across Your End-To-End Value Chain[/qodef_highlight]
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