Sales and Demand Forecasting

Welcome to your Sales and Demand Forecasting. Keep in mind that you have only 2 attempts! All topics in certification are available in our knowledge base

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1.

iERP Demand forecasting module is providing to customers

Sales forecasting only

Inventory purchase and manufacturing quantity recommendations

Sales business intelligence

Features like new product forecasting or market intelligence

All of the above

2.

Demand forecasting is considering during machine learning external indicators like GDP, Unemployment, CPI, and more.

True

False

3.

Users can define their historical and future internal indicators like strikes, holidays, promotions, and similar.

True

False

4.

When you are defining algorithm parameters and you select ‘Month’ on Demand forecasting as ‘Units of time for Training’ on Algorithm tab then

Sales data for training will be consolidated per customer, product and per month

Only last month data of sales data will be considered for algorithm training

System will use daily data for algorithm training

5.

iERP forecasting engine is supporting forecast for following units of time defined on 'Algorithm' tab

Minutes, hours, days

Days, weeks, months

Weeks, months and years

6.

Is iERP Demand forecasting supporting selection of decimal rounding on forecasting data at 'Algorithm' tab?

Yes

No

7.

Can users specify how far ahead they want to generate forecast for on 'Algorithm' tab selection?

No, it is fixed to 5 months

Yes, without any limitation on forecast length

Yes, for period of 9 months

8.

Can user change parameters of algorithm (time forecasting, length, etc.) once you move from algorithm selection to training screen?

No

Yes

9.

How many data files can user upload on Demand forecasting Trainer Sources?

1

3

6

9

10.

Indicator input files usually contains following data:

Only history events like breakdowns, holidays, promotions only.

History and also future events like holidays, promotions, breakdowns, or economic indicators.

Weather data only.

11.

Columns tab in demand forecasting 'Training' section is used to:

Training execution

Validation of data load to the system

API setup

12.

Is possible to print PDF report with data validation and potential errors on Trainer Columns screen?

Yes

No

13.

If error is found in the data on Trainer Columns screen, user can correct errors by:

Uploading new file on Trainer sources screen.

Correcting data in CSV file and then click on Reload and validate button

You have to create new project

14.

Data tab on 'Trainer' screen is used to:

Review loaded data

Review basic sales business intelligence tabs

Reload data in case user finds any error in the data

All of the above

15.

Does user need to adjust any configuration before machine learning execution on Trainer tab in 'Training'?

Yes, there are many setup parameters

No, algorithm training is straightforward and one button click process

16.

How many machine learning algorithms is iERP Studio using for sales and demand forecasting?

5

50

100+

17.

Machine learning training can occupy 100% CPU while performing training of algorithms:

False

True

18.

Algorithm training duration is dependent on:

Dataset size

Hardware configuration

All of the above

19.

Sources tab in 'Forecaster' section is used for:

Upload the most recent data to be used for most accurate predictions based on already trained model

Machine learning training

Review forecasting results

20.

Visualisation on Data tab on ‘Forecaster’ section is

Exactly the same business intelligence as on Data tab on ‘Trainer’ screen

Advance business intelligence for users to get instant overview of sales in all locations

21.

Visualisation on Data tab on Forecaster section consist of BI data displaying:

Overview of sales this week, this month, this quarter and this year and comparison to previous period.

All locations sale and specific location sales data.

All products sale and specific product sales data.

All customer sale and specific customers sales data.

All of the above.

22.

Forecasting results can be reviewed:

With assisted forecasting as visual chart at studio.

As manual entry in studio.

Exported as CSV.

Integrated with API.

All of the above.

23.

Assisted forecasting visual chart can be reviewed for:

One product and location at the time.

As many products and locations as user want.

24.

How many different forecast types is displaying visual chart of assisted forecasting?

One, predicted sales forecast.

Two, predicted sales forecast and realistic forecast on committed purchase orders or manufacturing jobs.

Three, predicted sales forecast, realistic forecast on committed purchase orders or manufacturing jobs, and user adjusted forecast based on market intelligence.

25.

CSV export of forecast can be filtered by Location or Product

True

False

26.

CSV export forecast is listing predictions of all combinations of products and locations

True

False

27.

iERP Studio is providing along with sales forecast information about excess or low inventory level quantity based on inventory file and more inventory related information:

True

False

28.

iERP studio has its own API engine which can be integrated to any of open architecture systems

True

False

29.

Demand forecasting market intelligence functionality allows users to:

Manually adjust forecast for upcoming periods as plus or minus percentage

Review prices on stock exchange

Review crypto market status

30.

Demand forecasting product like functionality allows users to:

Like and share with other users their favourite products.

Group products based on like preferences.

Assign history sales of existing product to the new product so system can generate forecast for newly introduced products.

Sales and Demand Forecasting

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