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IwoRK Technologies llc
Pitch Deck
Presenting sparta!
The first Enterprise Software
with a built-in ML platform
.
2
Combining Intelligent Process Automation with Enterprise Software
Our Vision is backed by Numbers
3
• 76% of enterprises prioritize AI and Machine Learning (ML) over
other IT initiatives in 2021
• The global machine learning market size is expected to reach
$96.7B by 2025
• 83% of enterprises have increased their budget for AI and
machine learning year-over-year from 2019-2020
• By 2025, 50% of enterprises will have devised artificial
intelligence (AI) orchestration platforms to operationalize AI
Erp + ml = sparta
Sparta is a brute force backed by Machine
Learning for all levels of enterprises in the
world.
4
The Problems Today
Enterprises in the retail market don’t leverage their data to the max.
Impossible to convert data insights into meaningful patterns using Excel
Legacy applications are not automated with human error eroding the data
Most businesses in distribution are forced to buy 3rd Party software
5
A ML model deployment
platform
Sparta ML (SML) sorts all the data
in the system for ease of use
accordingly. Backed by Machine
Learning, it lets you get your data
within seconds using different
models.
solutions
Intelligent Automation
Accomplish tasks by minimizing
human intervention by using
process automation. Replenish
stocks, close accounts, clear up
your AP and more with no clicks.
6
Robust Enterprise Software
Sparta Enterprise (SE) was
designed for the user. Experience a
B2C quality interface coupled with a
comprehensive list of integrated
modules.
Smart Analytics
Using dashboards, get clear
insight on what's going on inside
your organization. Enable your data
engineers to access structured data
sets.
Platforms
7
Sparta - BEST OF BOTH WORLDS, a new type of enterprise software
8
ERP Platforms
- Oracle
- Sap
- Microsoft dynamics
Third party (rpa/ai-ml)
- FlowlIty
- Blue prism
- Uipath
Sparta
Case study 1: Retail Industry Operations affected by Covid-19
9
The BOPIS trend exists in the F&B industry but it is slowly becoming a reality in the retail sector as well. This trend
will play a big role post pandemic too. Here is how an enterprise software + ML platform can give companies an
edge.
During the pandemic, industries shifted towards BOPIS or Buy Online, pick-up in store. While managing BOPIS,
companies claim that 45.6% of the time the issue is with Logistics and Inventory Tracking.
• Gather stock movement data
(Sparta Enterprise or SE)
• Incorporate IoT sensors for real-
time data (SE)
• Detect inconsistent supplier quality
levels (Sparta ML or SML)
• Fix forecasting error (SML)
Problem Solution Result
• More satisfied Shoppers into the
store
• Increase in additional purchases
Case study 2: Cash FLOW Position monitoring
10
Walmart, Amazon, Costco, Carrefour try to manage their cash by avoiding over-stocking of non-selling items:
resisting the temptation to buy 10 of an item if you only need 5 just because you get an extra 15% off the cost.
Figuring out a steady stream of supply and cash can be daunting, here is how we can fix that:
A typical industry will exchange products or services in a credit based system where APs and ARs come into play.
But cash is king, and in retail, the same holds.
• Automatically Integrate supplier
invoice (SE)
• Prioritize invoice payments based
on due dates. (SE)
• Compare inventory consumption
with supplier invoice (SE)
• Build model to filter out supplier,
product, delivery method and
demand to maintain a positive cash
flow and optimum stock (SML)
Problem Solution Result
• Retailers can’t manage their
working capital
• Turnover that is slower than the
due date of the supplier invoice
• Increase in unwanted stocking costs
Integration
Easily integrate with
front-office and
productivity tools like
Salesforce and Slack
Optimize models
Use our no-code ML
model builder to dictate
best possible scenarios
for your processes
Competitive advantages
11
One Enterprise Suite
Combine the best
enterprise software with a
dedicated intelligent
platform to get the best
out of your data
$575,000,000,000
Overall Enterprise Automation will expand to a $575B
market by 2025*
12
prnewswire.com*
Fortunebusinessinsights.com**
Market Potential
$23,000,000,000
AI/ML market size for retail markets by 2027**
Founding Team
13
Samuel Molla Kassa, Co-CEO | CTO
Background in Software Development with
extensive experience working for fortune 500
companies nationwide.
Background in Finance with extensive
experience working for fortune 500
companies nationwide.
Yelekal Solomon, Co-CEO | CFO
Pricing Model & Combinations
Per User
a) 1 -40
b) 41 – 100
c) 101 – 1000
d) 1001 +
Packages
offered
Basic
Gold
Platinum
14
We offer Sparta on AWS Cloud as a SaaS product.
Pricing could vary based on the package level, Platinum being the
most complex; and User base, the price increases as you add more
users into the system.
Reoccurring payments could be based on the companies
preference. Subscribing for the full year could get the company
some savings when compared to the monthly subscribers.
Providing hands-on additional training to help companies fully
maximize their usage will also help us generate revenue. Support
in different packages could also help us additional reoccurring
revenue.
Thanks!
Any questions?
You can find us at:
sales@iworkplc.com
15
Data from:
*PRNewswire
*Forbes.com

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Sparta pitch deck

  • 2. Presenting sparta! The first Enterprise Software with a built-in ML platform . 2 Combining Intelligent Process Automation with Enterprise Software
  • 3. Our Vision is backed by Numbers 3 • 76% of enterprises prioritize AI and Machine Learning (ML) over other IT initiatives in 2021 • The global machine learning market size is expected to reach $96.7B by 2025 • 83% of enterprises have increased their budget for AI and machine learning year-over-year from 2019-2020 • By 2025, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI
  • 4. Erp + ml = sparta Sparta is a brute force backed by Machine Learning for all levels of enterprises in the world. 4
  • 5. The Problems Today Enterprises in the retail market don’t leverage their data to the max. Impossible to convert data insights into meaningful patterns using Excel Legacy applications are not automated with human error eroding the data Most businesses in distribution are forced to buy 3rd Party software 5
  • 6. A ML model deployment platform Sparta ML (SML) sorts all the data in the system for ease of use accordingly. Backed by Machine Learning, it lets you get your data within seconds using different models. solutions Intelligent Automation Accomplish tasks by minimizing human intervention by using process automation. Replenish stocks, close accounts, clear up your AP and more with no clicks. 6 Robust Enterprise Software Sparta Enterprise (SE) was designed for the user. Experience a B2C quality interface coupled with a comprehensive list of integrated modules. Smart Analytics Using dashboards, get clear insight on what's going on inside your organization. Enable your data engineers to access structured data sets.
  • 8. Sparta - BEST OF BOTH WORLDS, a new type of enterprise software 8 ERP Platforms - Oracle - Sap - Microsoft dynamics Third party (rpa/ai-ml) - FlowlIty - Blue prism - Uipath Sparta
  • 9. Case study 1: Retail Industry Operations affected by Covid-19 9 The BOPIS trend exists in the F&B industry but it is slowly becoming a reality in the retail sector as well. This trend will play a big role post pandemic too. Here is how an enterprise software + ML platform can give companies an edge. During the pandemic, industries shifted towards BOPIS or Buy Online, pick-up in store. While managing BOPIS, companies claim that 45.6% of the time the issue is with Logistics and Inventory Tracking. • Gather stock movement data (Sparta Enterprise or SE) • Incorporate IoT sensors for real- time data (SE) • Detect inconsistent supplier quality levels (Sparta ML or SML) • Fix forecasting error (SML) Problem Solution Result • More satisfied Shoppers into the store • Increase in additional purchases
  • 10. Case study 2: Cash FLOW Position monitoring 10 Walmart, Amazon, Costco, Carrefour try to manage their cash by avoiding over-stocking of non-selling items: resisting the temptation to buy 10 of an item if you only need 5 just because you get an extra 15% off the cost. Figuring out a steady stream of supply and cash can be daunting, here is how we can fix that: A typical industry will exchange products or services in a credit based system where APs and ARs come into play. But cash is king, and in retail, the same holds. • Automatically Integrate supplier invoice (SE) • Prioritize invoice payments based on due dates. (SE) • Compare inventory consumption with supplier invoice (SE) • Build model to filter out supplier, product, delivery method and demand to maintain a positive cash flow and optimum stock (SML) Problem Solution Result • Retailers can’t manage their working capital • Turnover that is slower than the due date of the supplier invoice • Increase in unwanted stocking costs
  • 11. Integration Easily integrate with front-office and productivity tools like Salesforce and Slack Optimize models Use our no-code ML model builder to dictate best possible scenarios for your processes Competitive advantages 11 One Enterprise Suite Combine the best enterprise software with a dedicated intelligent platform to get the best out of your data
  • 12. $575,000,000,000 Overall Enterprise Automation will expand to a $575B market by 2025* 12 prnewswire.com* Fortunebusinessinsights.com** Market Potential $23,000,000,000 AI/ML market size for retail markets by 2027**
  • 13. Founding Team 13 Samuel Molla Kassa, Co-CEO | CTO Background in Software Development with extensive experience working for fortune 500 companies nationwide. Background in Finance with extensive experience working for fortune 500 companies nationwide. Yelekal Solomon, Co-CEO | CFO
  • 14. Pricing Model & Combinations Per User a) 1 -40 b) 41 – 100 c) 101 – 1000 d) 1001 + Packages offered Basic Gold Platinum 14 We offer Sparta on AWS Cloud as a SaaS product. Pricing could vary based on the package level, Platinum being the most complex; and User base, the price increases as you add more users into the system. Reoccurring payments could be based on the companies preference. Subscribing for the full year could get the company some savings when compared to the monthly subscribers. Providing hands-on additional training to help companies fully maximize their usage will also help us generate revenue. Support in different packages could also help us additional reoccurring revenue.
  • 15. Thanks! Any questions? You can find us at: sales@iworkplc.com 15 Data from: *PRNewswire *Forbes.com