Welcome to Asher Data Science

Supply Chain Network Design &
Continuous Optimization

Supply Chain Design projects are among the highest benefit projects:
typical savings of 3% to 10% of total supply chain costs.

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Supply Chain design optimizes tradeoffs across
all supply chain functions, from source to customer.

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Supply chain design requires deep analytics, running hundreds of network scenarios to find the optimum solution.

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Supply chain design is critical to manage and mitigate
today’s high risk global environment.

Risk Planning and Mitigation

  • Global, National, Regional, Local events (geopolitical, pandemic, weather, product shortages, escalating prices, etc.)
  • Network scenario risk scoring
  • Risk mitigation planning with constraint based what if modeling
  • Risk management: supply diversification, insourcing, supply chain shortening (nearshoring & reshoring)
  • Risk sharing: strategic partnering

Asher Data Science offers 3 leading software packages to
design and continually optimize your supply chain.

Asher Data Science

Asher software uses a revolutionary data science approach to
supply chain design and continuous optimization.

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Asher’s Data Science oriented “Expert-AI” tools are faster, cheaper, and easier to learn, implement, integrate and customize than ”off the shelf” and ERP tools.

Example

Pre “Expert-AI” era tools use experts that spend time setting up and running hundreds of scenarios via graphical user interfaces (the mode is operator driven). Today’s tools don’t need an operator or a graphical interface. Rather, mapping results are available for review of optimal scenarios. There are numerous other advantages.
Custom Data & User Interface & Training None Needed (uses data science interface) Custom User Interface & Training Custom User Interface & Training
Graphical User Interface (GUI) Automated with Expert AI (GUI not needed in design, graphics produced in output) Learn and Manually Operate GUI (labor intensive) Automated with Custom AI
Integration None Needed Custom Custom (or Built into ERP)
Expert AI / 90% process automation Yes: Python Custom Configured model (ready to use)
In-house Customization Yes, comes with source code Costly Vendor Customization Costly Vendor Customization
Training 1 Week (run in and by Python users) 4 – 6 Weeks 6 – 8 Weeks
Software cost Low (open source) High Very-high

Asher’s Supply Chain Designer provides a
higher ROI for other firms and tools.

Consulting Fees $12,0001 $5,0002 $600,000- $1.5 million5 ~$50,000 (configuration)
Software Cost n/a $25,000 unlimited corp. use license $100,000 single use license $250,000 to $1 million
Timing (1st design) 2 – 4 weeks3 2 - 4 weeks 4 to 6 months 2 to 4 months
Deliverable One-time network strategy Configured model (ready to use) One-time network strategy Configured model (ready to use)
Innovation Frequency One-time Continuous One-time Continuous Execution
Savings (3 – 10%) High: One-time Savings Higher: Continuous Strategy Tool High: One-time Savings Highest: Continuous Strategy & Execution Tool
ROI High6 Highest Medium Medium-High

1. Per Country. Excludes data editing if requested.
2. 40 hours of training as needed. Using Asher as a service, configures the model.
3. 2 weeks if data is cleansed, 4 weeks or longer for the client to clean data. Asher can be used to cleanse data.
4. 40 hours on Python functions to walk users through the application of the model on their data. The implementation copies function into the current data science platform.
5. Depends on company size and geographic scope.
6. ROI is high and highest as savings in the 3 to 6% range and low startup costs.

Data science applications have provided the most significant advance in supply chain design software in the last 30 years.

Benefit areas
1. Written in Python to leverage the benefits of big data (large datasets), machine learning, artificial intelligence, and the high process automation required for a continuous design.
2. Expertise is built into advanced algorithms and AI that selects scenarios to run based on previous scenario results.
3. Cost, service, and risk optimization algorithms with constraint-based risk mitigation planning.
4. Data mining APIs constantly gather and update external labor and space cost data.
5. Python functions and the Pandas library allow flexible, easy, and cost-effective customization by any Python developer, ensuring continuous innovation. The data science approach (versus ERP) uses ready-to-run “functions” copied into the Python directory that Python 101 users execute. No new costly ERP software to buy, integrate, test, and learn.
6. Supply Chain Designer can accelerate your enterprise data science group and/or launch a new data science function.

Asher offers 3 ways to use the SC designer product:
a) modeling as a data service,
b) purchase software (‘strategic’ or ‘advanced’ models), or a
c) traditional network design consulting projects.

1. Asher Modeling Service (Product: SC Designer)* Contact Contact
2. Purchase Software
    A. SC Designer (strategic model) Contact Contact
    B. SC Designer (advanced model) Contact Contact
    C. Asher Expert AI Contact Contact
    D. Digital Twin: Continuous Optimization Contact Contact
3. Consulting: Traditional Network Design Project (software use included)* $250,000 $350,000

* Per country or contiguous set of countries without land barriers. For example, USA and Canada are priced as one country. Modeling service assumes the client cleans data and submits it to Asher in the provided data formats. Software purchase is for one business entity or supply chain.