Predictika · chiller plant quote validator, modeled on AquaSnap 30RC air-cooled chillers

A sales agent's chiller plant quote, checked before it is submitted

A sales agent prepares a chiller plant quote for a building and says it is ready to submit. Before it goes out, the agent sends it to Predictika's validator, which checks the plant against the site (voltage, roof, electrical service, sound limit, climate, seismic zone), the load, the delivery date and the discount rules together, and reports every problem it finds in one pass.

Scope: Quotes for plants of one to six air-cooled screw chillers (modeled on Carrier AquaSnap 30RC public information) at five example sites: Chicago, Phoenix, Miami, Los Angeles and Toronto. Specifications and prices are estimates, not a Carrier quotation. See everything this validator covers

This validator checks any plant quote for the modeled chillers and sites, not just the scenarios shown below.

  • Fit to the site — voltage, electrical service, roof load, sound limit at the property line, freezing winters, hot design ambient and seismic zone.
  • Capacity — the plant against the load after derating for heat and glycol, with or without a unit held in reserve, and oversizing.
  • Options — freeze, seismic, high-ambient, low-sound and coil-coating options that the site calls for.
  • Delivery and price — standard lead time, expedited delivery, and discount authority by deal size.

Any quote for these chillers and sites that touches these rules is in scope, not only the scenarios pictured here. Not checked: detailed engineering, installation, controls design, incentives and the accuracy of the facts the caller states.

The sales agentPrepares the chiller plant quote from the customer's request and says it is ready to submit.
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 sales agent says

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

Proposing agent: sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator


      
Waiting for the call.

Where a rules-based quote checklist gets this wrong

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Our assessment of what a typical rules-based quote checklist or configurator form (one rule per field, each limit checked on its own) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

What the validator caughtA rules-based quote checklistPredictika
Capacity that depends on the weatherOnly with workarounds
Capacity is derated by the design ambient, the glycol mix and the unit held in reserve, so each site and fluid needs its own table of numbers.
The derating is calculated from the site and the choices in the same request.
Limits that depend on each otherOnly with care
Adding a unit changes capacity, electrical draw, weight, sound and price at once, and a checklist treats them as unrelated fields.
Capacity, electrical, weight and sound are all re-evaluated together on every call.
Options that only some sites needOnly with care
Freeze, seismic, high-ambient and coating options apply only at certain sites, so each needs a guard.
The site and the option are in the same request and checked together.
Approvals that depend on the dealOnly with care
The discount a rep, a manager or a vice president can approve depends on the deal size.
The approval limit is calculated from the deal and reported with the finding.
Every problem returned in one answerOnly with workarounds
Form checks usually stop at the first failing field, so an agent 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 chiller model must be offered at the site's electrical voltage.
2A plant is limited to six chillers, the most the plant controller can manage.
3The total electrical draw must fit within the site's electrical service.
4On a roof, the total weight must stay under the roof load limit.
5The plant must meet the load after derating for hot weather and glycol, and with one unit held back when redundancy is chosen.
6The sound at the property line must stay under the site's limit, using the low-sound option if needed.
7A site with freezing winters on plain water needs the freeze kits.
8A site in a seismic zone needs the seismic kits.
9A site with a design ambient above 105F needs the high-ambient kit.
10A requested delivery that is much earlier than the lead time is refused; one slightly earlier needs approval to expedite.
11A discount above what a rep can give needs approval; one above the limit for the deal size is refused.
12A plant far larger than the load needs approval as oversized.
13A coastal site without coil coating needs approval.

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. A hospital plant in Phoenix: A three-chiller hospital plant in Phoenix, no high-ambient kit

The agent's request. Please check this chiller plant quote for Desert Vista Medical in Phoenix: three AquaSnap 30RC120 chillers on plain water for a 280-ton load, all running with none held in reserve, and delivery in 18 weeks. It is ready to submit.

Verdict: Blocked.

  • High-ambient kit required. The design ambient at the Phoenix hospital is 116F, above 105F, so the high-ambient kit is required.
  • Plant and price. Three 30RC120 chillers, all running, give 284.4 tons at design against the 280-ton load, with 600 A, 26,700 lb and about 61 dBA at the property line. Equipment is $439,500 (estimate) and ships in about 14 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

2. A hospital plant in Phoenix: The agent resubmits after fixing the errors

The agent's request. The hospital now needs 300 tons, and I added the high-ambient kit. Please check three AquaSnap 30RC120 chillers on plain water at the Phoenix hospital, none held in reserve, delivery in 18 weeks.

Verdict: Blocked.

  • Plant is short of the load. At 116F design ambient on water, each 30RC120 delivers only 94.8 tons. With all three units running the plant gives 284.4 tons, short of the 300-ton load.
  • Plant and price. With the kit the equipment is $460,500 (estimate) and ships in about 16 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

3. A hospital plant in Phoenix: The agent resubmits after fixing the errors

The agent's request. I changed the plant to four AquaSnap 30RC120 chillers with one held in reserve (N plus 1), the high-ambient kit, and a 260-ton load at the Phoenix hospital, delivery in 18 weeks. Please check it.

Verdict: Allowed.

  • Plant and price. Four 30RC120 chillers with three running give 284.4 tons at design against the 260-ton load, with 800 A, 35,600 lb and about 62 dBA at the property line. Equipment is $609,000 (estimate) and ships in about 16 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

4. A school plant in Toronto: Four chillers at a Toronto school, one decibel over the limit

The agent's request. Please check this chiller plant quote for Maple Grove School in Toronto: four AquaSnap 30RC060 chillers on a 30 percent glycol mix for a 220-ton load, none held in reserve, delivery in 16 weeks. It is ready to submit.

Verdict: Blocked.

  • Too loud at the property line. Four 30RC060 chillers reach about 56 dBA at the property line; the limit at the Toronto school is 55 dBA.
  • Plant and price. The four chillers give 228.0 tons at design against the 220-ton load, with 336 A and 20,800 lb. Equipment is $341,000 (estimate) and ships in about 14 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

5. A school plant in Toronto: The agent resubmits after fixing the errors

The agent's request. I added the low-sound option to the Maple Grove School quote: four AquaSnap 30RC060 chillers on a 30 percent glycol mix, 220 tons, delivery in 16 weeks. Please check it.

Verdict: Allowed.

  • Plant and price. The low-sound option brings the plant to about 50 dBA at the property line, under the 55 dBA limit. The four chillers give 228.0 tons against the 220-ton load, and the equipment is $365,960 (estimate), shipping in about 14 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

6. A hotel plant on the Miami coast: A three-chiller hotel plant on the Miami coast, coils uncoated

The agent's request. Please check this chiller plant quote for Bayfront Hotel in Miami: three AquaSnap 30RC080 chillers on plain water for a 220-ton load, none held in reserve, delivery in 16 weeks. It is ready to submit.

Verdict: Needs approval.

  • Uncoated coils on the coast. The Miami hotel is a coastal site and the coils are uncoated. Corrosion voids the coil warranty terms, so the quote needs engineering sign-off.
  • Plant and price. Three 30RC080 chillers give 237.6 tons at design against the 220-ton load, with 900 A, 19,200 lb and about 61 dBA at the property line. Equipment is $319,500 (estimate) and ships in about 14 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

7. A hotel plant on the Miami coast: The agent resubmits after fixing the errors

The agent's request. I added the coil coating to the Bayfront Hotel quote: three AquaSnap 30RC080 chillers on plain water, 220 tons, delivery in 16 weeks. Please check it.

Verdict: Allowed.

  • Plant and price. With coated coils, no sign-off is needed. The plant gives 237.6 tons against the 220-ton load, and the equipment is $334,200 (estimate), shipping in about 14 weeks. Estimates for a modeled chiller plant, not a Carrier quotation.

Narration transcript

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The text of the narrated walkthrough, step by step.

  1. Welcome to a demo of Predictika's Validator. A sales agent prepares a chiller plant quote for a building and says it is ready to submit. Before it goes out, the agent sends it to Predictika's validator, which checks the plant against the site (voltage, roof, electrical service, sound limit, climate, seismic zone), the load, the delivery date and the discount rules together, and reports every problem it finds in one pass.
  2. I will start with the first request by the agent.
  3. The agent says. Please check this chiller plant quote for Desert Vista Medical in Phoenix: three AquaSnap 30RC120 chillers on plain water for a 280-ton load. It is ready to submit. The rest of the request is on screen.
  4. Before it goes out, the agent calls the validator.
  5. Blocked, with one finding, all in one answer. The design ambient at the phoenix hospital is 116F, above 105F, so the high-ambient kit is required.
  6. The validator returned one blocking finding 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.
  7. What this shows: for limits that depend on each other, a rules-based quote checklist is error-prone for this.
  8. Now the agent resubmits.
  9. The corrected request. It changes the load to 300 tons. It sets the high-ambient kit to yes.
  10. It calls the validator again.
  11. Still blocked, with one finding, all in one answer. At 116F design ambient on water, each 30RC120 delivers only 94.8 tons. With all three units running the plant gives 284.4 tons, short of the 300-ton load.
  12. One finding cleared, but the change brings a different blocking finding: plant is short of the load.
  13. The agent resubmits once more.
  14. The revised request. It changes the load to 260 tons, the units to 4 and the redundancy to One in reserve (N+1).
  15. It calls the validator once more.
  16. This time the validator clears it.
  17. The earlier finding is cleared.
  18. One problem 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.