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Analytics with Simulean -
2016
1
Simulean : analytics for margin mngt
Simulean™ : a business simulation
for a channel margin management
Examples in food industries
Analytics with Simulean -
2016
2
Problem : the growing complexity of the
value of a channel
Manager looking for profits
Analytics with Simulean -
2016
3
More and more data to process and analyse
Manager looking for profits
Analytics with Simulean -
2016
4
How started Simulean™ development
Several experts (consultants, users, business
managers…) have gathered over years data of
all types on quality, performance and business
results for the food processing channel
From these data, some facts and correlations
have been established
Business analysis on these facts and
correlations has established a business model
for profit and margin forecast and analysis :
Simulean
Analytics with Simulean -
2016
5
Simulean model
For each operator, whether upstream or downstream or
whatever his level can be, SIMULEAN is permanently
calculating the following :
1. Turnover = Purchasing + Taxes + Costs + Net Margin
2. Turnover = Quantities x Selling price
3. Downstream quantities = Transformation(yield, upstream
quantities)
Simulean evaluates simultaneously the profits and
margins of all operators of the supply chain
Analytics with Simulean -
2016
66
Example of food processing channel
Simulean analyses the margins of each operator of the
food processing channel
For each operator, SIMULEAN delivers his margins and profits from
his internal organization (and costs) and his competitive position
Field, Orchard
Harvest
Delivery Supermarkets
Production
Storage
Margins monitoring
Analytics with Simulean -
2016
7
Data used by Simulean
Macro data:
-Reports from statistical institutions
-Channel reports (poultry, pork, dairy…)
-Price and margin public observatories (poultry)
-France, EU, USDA reports…
Micro data:
-Enterprises financials statements (France, Europe…),
-Consultancy experience
-Incidents management experience
-Benchmarks
Analytics with Simulean -
2016
8
Examples of results
Rungis food national market :
Weekly delivering data (wholesalers, fish trade…) :
-Price variations of the previous week and its impact on
margin
-Costs variations from feeds
-New service deployement (transport, transformation…)
Analytics with Simulean -
2016
9
Numeral Advance data services
Data services of Simulean:
•Profits & margins forecast and prediction
•Profit analysis of a new product
•Pricing and catalogue management
•Better insight on channel profits for better bargains
•Public data integrated in the profit & margin analysis
Consultancy for a the deployement of a model :
•Experience on design for economics and operations
•Statistical and mathematical models experience
•Practices of software development for simulation

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Simulean_Analytics

  • 1. Analytics with Simulean - 2016 1 Simulean : analytics for margin mngt Simulean™ : a business simulation for a channel margin management Examples in food industries
  • 2. Analytics with Simulean - 2016 2 Problem : the growing complexity of the value of a channel Manager looking for profits
  • 3. Analytics with Simulean - 2016 3 More and more data to process and analyse Manager looking for profits
  • 4. Analytics with Simulean - 2016 4 How started Simulean™ development Several experts (consultants, users, business managers…) have gathered over years data of all types on quality, performance and business results for the food processing channel From these data, some facts and correlations have been established Business analysis on these facts and correlations has established a business model for profit and margin forecast and analysis : Simulean
  • 5. Analytics with Simulean - 2016 5 Simulean model For each operator, whether upstream or downstream or whatever his level can be, SIMULEAN is permanently calculating the following : 1. Turnover = Purchasing + Taxes + Costs + Net Margin 2. Turnover = Quantities x Selling price 3. Downstream quantities = Transformation(yield, upstream quantities) Simulean evaluates simultaneously the profits and margins of all operators of the supply chain
  • 6. Analytics with Simulean - 2016 66 Example of food processing channel Simulean analyses the margins of each operator of the food processing channel For each operator, SIMULEAN delivers his margins and profits from his internal organization (and costs) and his competitive position Field, Orchard Harvest Delivery Supermarkets Production Storage Margins monitoring
  • 7. Analytics with Simulean - 2016 7 Data used by Simulean Macro data: -Reports from statistical institutions -Channel reports (poultry, pork, dairy…) -Price and margin public observatories (poultry) -France, EU, USDA reports… Micro data: -Enterprises financials statements (France, Europe…), -Consultancy experience -Incidents management experience -Benchmarks
  • 8. Analytics with Simulean - 2016 8 Examples of results Rungis food national market : Weekly delivering data (wholesalers, fish trade…) : -Price variations of the previous week and its impact on margin -Costs variations from feeds -New service deployement (transport, transformation…)
  • 9. Analytics with Simulean - 2016 9 Numeral Advance data services Data services of Simulean: •Profits & margins forecast and prediction •Profit analysis of a new product •Pricing and catalogue management •Better insight on channel profits for better bargains •Public data integrated in the profit & margin analysis Consultancy for a the deployement of a model : •Experience on design for economics and operations •Statistical and mathematical models experience •Practices of software development for simulation