Predictika · Pantographic planter quotes

An AI sales agent's planter quote, checked before it goes out

An AI sales agent prepares a quote for a farm that wants Baldan SPA Line precision planters: the chassis, the row spacing, the number of rows, the metering system, the fertilizer discs and the reservoir capacity. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the published SPA Line data sheet and returns a verdict, every reason and the figures it computed.

Scope: Baldan SPA Line pantographic planters only: chassis 05, 06, 07 and 09, ten row spacings, rows, metering system, 18-inch fertilizer discs, monitor and reservoir capacity. No prices. See everything this validator covers

This validator models quotes for the Baldan SPA Line pantographic precision planter as described in its public data sheet (Cultivar Máquinas 266), not just the scenarios shown below.

  • Rows — the data sheet gives the number of rows for each of the four chassis (05, 06, 07, 09) at each of ten row spacings (450 to 900 mm), from 3 to 9 rows. A quote whose row count differs from the table, or that names a chassis or spacing the table does not list, is blocked.
  • Metering and discs — the data sheet lists Baldan and Titanium as mechanical metering systems and Selenium and VSet as pneumatic ones; a quote that pairs a type with the wrong system is blocked. Fertilizer cutting discs are 18 inches, smooth or turbo; any other diameter is blocked. The MP36 and PM400 monitors are optional.
  • Capacity — the data sheet gives an average of 95 L of fertilizer and 68 L of seed per row. The totals for the quoted rows and planters are computed and compared with the figures the quote states.

Any SPA Line planter quote that touches these rules is in scope — not only the scenarios pictured here. Not covered: prices (the data sheet gives none), other Baldan planter lines, the seed-and-crop suitability of each metering system, working width, tractor power, freight and financing.

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

6 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 row count that depends on both chassis and row spacingOnly with care
The four chassis and ten spacings make a 40-cell table; it has to be kept as a lookup or as dozens of option rules, and the row count typed into a quote has to be compared with it.		The chassis and spacing are looked up in the data sheet table and the quoted row count is checked against it on every call.
A capacity total that must equal rows times planters times the per-row averageOnly with care
A total typed into the quote is a free-entry field; a rule can compare it with a formula, but someone has to write and maintain that comparison for fertilizer and for seed.		Both stated totals travel with the quote and are compared with the computed totals on every call.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as the quote 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 quote has 6 rows, but the SPA Line table gives 5 rows for chassis 07 at 600 mm row spacing.
2The quote has 10 rows, but the SPA Line table gives 9 rows for chassis 09 at 450 mm row spacing.
3The quote has 4 rows, but the SPA Line table gives 5 rows for chassis 05 at 450 mm row spacing.
4The SPA Line has no chassis 08; the versions are 05, 06, 07 and 09.
5The SPA Line table lists no 470 mm row spacing; the listed spacings are 450, 500, 550, 600, 650, 700, 750, 760, 800 and 900 mm.
6The quote pairs a Pneumatic metering type with the Titanium metering system; the data sheet lists Baldan and Titanium as mechanical and Selenium and VSet as pneumatic.
7The quote pairs a Mechanical metering type with the VSet metering system; the data sheet lists Baldan and Titanium as mechanical and Selenium and VSet as pneumatic.
8The quote has 20-inch fertilizer cutting discs; the data sheet lists 18-inch discs, smooth or turbo.
9The quote has 16-inch fertilizer cutting discs; the data sheet lists 18-inch discs, smooth or turbo.
10The quote states 1,000 L of fertilizer capacity in total, but the quoted rows at the data sheet average of 95 L per row give 950 L.
11The quote states 600 L of seed capacity in total, but the quoted rows at the data sheet average of 68 L per row give 680 L.
12The quote has no planters.
13The quote states 500 L of seed capacity in total, but the quoted rows at the data sheet average of 68 L per row give 816 L.

  

  

    
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. Rows on a wide chassis: Two planters on the 09 chassis at 700 mm with seven rows

    
The agent's request. Please quote two Baldan SPA Line planters on the 09 chassis at 700 mm row spacing, with seven rows, mechanical Baldan metering, smooth 18-inch fertilizer discs and no monitor. The quote states 1,330 L of fertilizer capacity and 952 L of seed capacity in total. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Rows do not match the chassis and spacing. The quote has 7 rows, but the SPA Line table gives 6 rows for chassis 09 at 700 mm row spacing.
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2. Rows on a wide chassis: The agent resubmits after fixing the errors

    
The agent's request. Please quote two Baldan SPA Line planters on the 09 chassis at 700 mm row spacing, with six rows, mechanical Baldan metering, smooth 18-inch fertilizer discs and no monitor. The quote states 1,140 L of fertilizer capacity and 816 L of seed capacity in total. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Quote summary. 2 planter(s) with 6 rows at 700 mm spacing on chassis 09, 1,140 L of fertilizer and 816 L of seed capacity in total.
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3. Metering system: Three planters on the 06 chassis with pneumatic Titanium metering

    
The agent's request. Please quote three Baldan SPA Line planters on the 06 chassis at 600 mm row spacing, with five rows, pneumatic Titanium metering, smooth 18-inch fertilizer discs and the PM400 monitor. The quote states 1,425 L of fertilizer capacity and 1,020 L of seed capacity in total. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Metering system does not match its type. The quote pairs a Pneumatic metering type with the Titanium metering system; the data sheet lists Baldan and Titanium as mechanical and Selenium and VSet as pneumatic.
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4. Metering system: The agent resubmits after fixing the errors

    
The agent's request. Please quote three Baldan SPA Line planters on the 06 chassis at 600 mm row spacing, with five rows, pneumatic Selenium metering, smooth 18-inch fertilizer discs and the PM400 monitor. The quote states 1,425 L of fertilizer capacity and 1,020 L of seed capacity in total. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Quote summary. 3 planter(s) with 5 rows at 600 mm spacing on chassis 06, 1,425 L of fertilizer and 1,020 L of seed capacity in total.
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5. Discs and seed capacity: Two planters on the 05 chassis at 500 mm with 20-inch discs and a seed total that does not add up

    
The agent's request. Please quote two Baldan SPA Line planters on the 05 chassis at 500 mm row spacing, with four rows, mechanical Baldan metering, turbo 20-inch fertilizer discs and no monitor. The quote states 760 L of fertilizer capacity and 640 L of seed capacity in total. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Fertilizer disc is not 18 inches. The quote has 20-inch fertilizer cutting discs; the data sheet lists 18-inch discs, smooth or turbo.
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  • Stated seed capacity differs. The quote states 640 L of seed capacity in total, but the quoted rows at the data sheet average of 68 L per row give 544 L.
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6. Discs and seed capacity: The agent resubmits after fixing the errors

    
The agent's request. Please quote two Baldan SPA Line planters on the 05 chassis at 500 mm row spacing, with four rows, mechanical Baldan metering, turbo 18-inch fertilizer discs and no monitor. The quote states 760 L of fertilizer capacity and 544 L of seed capacity in total. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Quote summary. 2 planter(s) with 4 rows at 500 mm spacing on chassis 05, 760 L of fertilizer and 544 L of seed capacity in total.
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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 a quote for a farm that wants Baldan SPA Line precision planters: the chassis, the row spacing, the number of rows, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the published SPA Line data sheet 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 two Baldan SPA Line planters on the 05 chassis at 500 mm row spacing, with four rows, mechanical Baldan metering, turbo 20-inch fertilizer discs and no monitor. The quote states 760 L of fertilizer capacity and 640 L of seed capacity in total. The rest of the request is on screen.
    4. 
      
  4. Before it goes out, the agent calls the validator.
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  5. Blocked, with two findings, all in one answer. The quote has 20-inch fertilizer cutting discs; the data sheet lists 18-inch discs, smooth or turbo. The quote states 640 L of seed capacity in total, but the quoted rows at the data sheet average of 68 L per row give 544 L.
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  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 capacity total that must equal rows times planters times the per-row average, a rules-based CPQ is error-prone for this.
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  8. Now the agent resubmits.
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  9. The corrected request. It changes the fertilizer disc diameter to 18 inches and the stated seed capacity in total to 544.
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  10. It calls the validator again.
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  11. This time the validator clears it.
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  12. Both earlier findings are cleared, and the validator's figure matches the quote.
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  13. Two problems caught in one call, fixed in one pass, 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.
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