Predictika · Roller mills for grain milling

An AI sales agent's roller mill order, checked before it goes out

An AI sales agent prepares an order for Dolomit roller mills from a public product brochure, with a mill model, roll diameter and length, options and the weight and dimension it quotes. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the brochure's published tables and returns a verdict, every reason and the figures it computed.

Scope: Dolomit roller mills (MDDP four-roller and MDDQ eight-roller): roll sizes, the one motor drive option, and the weights and dimension the brochure lists. See everything this validator covers

This validator models orders for the Dolomit roller mills in the public Bühler brochure, not just the scenarios shown below.

  • Models and roll sizes — MDDP four-roller mills with 250 mm rolls (800, 1000 or 1250 mm long) or 300 mm rolls (1000 or 1250 mm long), and MDDQ eight-roller mills with 250 mm rolls (1000 or 1250 mm long); any other combination is rejected.
  • Options — direct aspiration system, integrated through-spouts and manual roll removal device; the one motor drive is listed for the MDDQ only.
  • Stated figures — the net weight per mill and the dimension A quoted on the order are compared with the brochure's table for the selected mill.

Any order for these mills that touches these rules is in scope — not only the scenarios pictured here. Not covered: prices (none are published, so this validator produces no price build-up or line-item quote), motor power and capacity (the brochure gives none), other Bühler mills such as the Diorit, and the design of a complete milling plant.

The AI sales agentBuilds the mill order from the conversation and says it is ready.
Predictika validatorChecks every rule at once and returns the verdict, each finding, and the computed figures.

7 scenarios in 3 groups · each group runs from the agent’s first attempt to the outcome · click one to switch

What the agent proposes

The AI sales agent says

Illustrative agent statement. The validator receives the structured request below.

Proposing agent: AI sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator


      

        
        
        
      

      
Waiting for the call.

      
    

  

  
  

    
Where rules-based CPQ gets it wrong
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Our assessment of what a typical rules-based CPQ (product rules, price rules and validation rules, as in Salesforce CPQ) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

    
What the validator caughtTypical rules-based CPQPredictika
A roll diameter and length the model does not come inOnly with care
Each model has its own list of valid roll sizes, so each combination needs its own rule, and a new size means more rules to maintain.		The model, diameter and length are in one request and compared with the brochure's table on every call.
An option that exists on one model onlyOnly with care
A product rule per option and model. It works, but every new model or option adds rules to maintain.		The model and every option are in one request and the availability rule is checked with the rest.
A stated weight or dimension that disagrees with the brochureOnly with workarounds
The figures the agent states are free text or separate fields, so each needs an extra rule that looks up the table for the selected size.		The stated figures are part of the request and are compared with the brochure's figures for the selected mill on every call.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as the order is saved or a step is completed, so a rep often fixes one error and meets the next.		All findings come back together, whatever order the choices arrived in.

  

  

    
What this validator catches: findings from its test cases
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Every rule is checked on every call, in any order the choices arrive; one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

    
1The brochure does not list a 300 mm roll diameter with a 800 mm roll length for this mill model; it lists MDDP 250 mm with 800, 1,000 or 1,250 mm, MDDP 300 mm with 1,000 or 1,250 mm, and MDDQ 250 mm with 1,000 or 1,250 mm.
2The brochure does not list a 300 mm roll diameter with a 1,000 mm roll length for this mill model; it lists MDDP 250 mm with 800, 1,000 or 1,250 mm, MDDP 300 mm with 1,000 or 1,250 mm, and MDDQ 250 mm with 1,000 or 1,250 mm.
3The brochure does not list a 250 mm roll diameter with a 1,500 mm roll length for this mill model; it lists MDDP 250 mm with 800, 1,000 or 1,250 mm, MDDP 300 mm with 1,000 or 1,250 mm, and MDDQ 250 mm with 1,000 or 1,250 mm.
4The brochure lists the one motor drive as an option for the MDDQ eight-roller mill only.
5The order has 0 mills; at least one is needed.
6The order states a net weight of 2,650 kg per mill, but the brochure lists 2,930 kg for the selected mill.
7The order states a dimension A of 1,610 mm, but the brochure lists 1,810 mm for the selected mill.
8The order states a net weight of 5,070 kg per mill, but the brochure lists 6,060 kg for the selected mill.
9The order states a dimension A of 1,940 mm, but the brochure lists 2,190 mm for the selected mill.
10The brochure does not list a 300 mm roll diameter with a 1,250 mm roll length for this mill model; it lists MDDP 250 mm with 800, 1,000 or 1,250 mm, MDDP 300 mm with 1,000 or 1,250 mm, and MDDQ 250 mm with 1,000 or 1,250 mm.
11The order states a net weight of 5,070 kg per mill, but the brochure lists 2,930 kg for the selected mill.
12The order states a dimension A of 1,940 mm, but the brochure lists 1,810 mm for the selected mill.

  

  

    
Scenarios and results
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The recorded result of the validator for each scenario on this page: the request the AI agent sent, the verdict, and every finding, in the order they appear above.

    
1. Roll size: An MDDQ eight-roller mill order with 300 mm rolls 1,250 mm long

    
The agent's request. Please quote 3 Dolomit MDDQ eight-roller mill units with 300 mm rolls 1,250 mm long, with the direct aspiration system and one motor drive. The order states a net weight of 3,960 kg per mill and a dimension A of 2,060 mm. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Roll size is not offered for this mill. The brochure does not list a 300 mm roll diameter with a 1,250 mm roll length for this mill model; it lists MDDP 250 mm with 800, 1,000 or 1,250 mm, MDDP 300 mm with 1,000 or 1,250 mm, and MDDQ 250 mm with 1,000 or 1,250 mm.
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2. Roll size: The agent resubmits after fixing the errors

    
The agent's request. Please quote 3 Dolomit MDDQ eight-roller mill units with 250 mm rolls 1,250 mm long, with the direct aspiration system and one motor drive. The order states a net weight of 6,060 kg per mill and a dimension A of 2,190 mm. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Order summary. 3 mill(s), 250 mm roll diameter, 1,250 mm roll length; net weight per mill 6,060 kg, packing weight per mill 6,480 kg.
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3. Options and stated weight: An MDDP order with the one motor drive and a wrong net weight

    
The agent's request. Please quote 4 Dolomit MDDP four-roller mill units with 250 mm rolls 1,000 mm long, with the integrated through-spouts, manual roll removal device and one motor drive. The order states a net weight of 2,650 kg per mill and a dimension A of 1,810 mm. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • One motor drive is for the MDDQ only. The brochure lists the one motor drive as an option for the MDDQ eight-roller mill only.
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  • Stated net weight differs from the brochure. The order states a net weight of 2,650 kg per mill, but the brochure lists 2,930 kg for the selected mill.
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4. Options and stated weight: The agent resubmits after fixing the errors

    
The agent's request. Please quote 4 Dolomit MDDP four-roller mill units with 250 mm rolls 1,000 mm long, with the integrated through-spouts and manual roll removal device. The order states a net weight of 2,650 kg per mill and a dimension A of 1,810 mm. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Stated net weight differs from the brochure. The order states a net weight of 2,650 kg per mill, but the brochure lists 2,930 kg for the selected mill.
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5. Options and stated weight: The agent resubmits after fixing the errors

    
The agent's request. Please quote 4 Dolomit MDDP four-roller mill units with 250 mm rolls 1,000 mm long, with the integrated through-spouts and manual roll removal device. The order states a net weight of 2,930 kg per mill and a dimension A of 1,810 mm. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Order summary. 4 mill(s), 250 mm roll diameter, 1,000 mm roll length; net weight per mill 2,930 kg, packing weight per mill 3,290 kg.
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6. Number of mills and dimension: An order for no mills with a wrong dimension A

    
The agent's request. Please quote 0 Dolomit MDDP four-roller mill units with 250 mm rolls 1,250 mm long, with the direct aspiration system. The order states a net weight of 3,430 kg per mill and a dimension A of 1,810 mm. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Number of mills must be at least one. The order has 0 mills; at least one is needed.
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  • Stated length A differs from the brochure. The order states a dimension A of 1,810 mm, but the brochure lists 2,060 mm for the selected mill.
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7. Number of mills and dimension: The agent resubmits after fixing the errors

    
The agent's request. Please quote 6 Dolomit MDDP four-roller mill units with 250 mm rolls 1,250 mm long, with the direct aspiration system. The order states a net weight of 3,430 kg per mill and a dimension A of 2,060 mm. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Order summary. 6 mill(s), 250 mm roll diameter, 1,250 mm roll length; net weight per mill 3,430 kg, packing weight per mill 3,800 kg.
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Narration transcript
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The text of the narrated walkthrough, step by step.

    
    
      
  1. Welcome to a demo of Predictika's Validator. An AI sales agent prepares an order for Dolomit roller mills from a public product brochure, with a mill model. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the brochure's published tables and returns a verdict, every reason and the figures it computed.
    2. 
      
  2. I will start with the first request by the agent.
    3. 
      
  3. The agent says. Please quote 4 Dolomit MDDP four-roller mill units with 250 mm rolls 1,000 mm long, with the integrated through-spouts, manual roll removal device and one motor drive. The order states a net weight of 2,650 kg per mill and a dimension A of 1,810 mm. The rest of the request is on screen.
    4. 
      
  4. Before it goes out, the agent calls the validator.
    5. 
      
  5. Blocked, with two findings, all in one answer. The brochure lists the one motor drive as an option for the MDDQ eight-roller mill only. The order states a net weight of 2,650 kg per mill, but the brochure lists 2,930 kg for the selected mill.
    6. 
      
  6. The validator returned two blocking findings in one answer. A check that reads one field at a time would pass most of this; it shows only when the choices in the quote are checked against each other.
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  7. What this shows: for a stated weight or dimension that disagrees with the brochure, a rules-based CPQ can do this only with workarounds.
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  8. Now the agent resubmits.
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  9. The corrected request. It changes the one motor drive to no.
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  10. It calls the validator again.
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  11. Still blocked, with one finding, all in one answer. The order states a net weight of 2,650 kg per mill, but the brochure lists 2,930 kg for the selected mill.
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  12. One finding cleared. Still blocking: stated net weight differs from the brochure.
    13. 
      
  13. The agent resubmits once more.
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  14. The revised request. It changes the stated net weight per mill as to 2,930 kg.
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  15. It calls the validator once more.
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  16. This time the validator clears it.
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  17. The earlier finding is cleared, and the validator's figure matches the quote.
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  18. Two problems caught in one call, fixed in two passes, and a clean quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.
    19.