API Documentations - DecisioQ Tire Retail & Service Developer Integration Manual

DecisioQ Tire Retail & Service Developer Integration Manual

How software developers should incorporate DecisioQ into tire POS, fitment, inventory, service scheduling, fleet account, inspection, supplier, and customer recommendation systems.

Tire Retail & Service Industry Edition

1. Purpose and Scope

This manual explains how software developers in the Tire Retail & Service industry should embed DecisioQ into operational systems. The focus is not simply calling an API. The goal is to design decision workflows that combine tire fitment, inventory, service capacity, customer preference, supplier availability, safety, and profitability into consistent recommendations.

DecisioQ should sit between tire retail/service data sources and business actions. It evaluates alternatives using weighted criteria and returns ranked recommendations, explanations, template versions, and audit metadata for POS users, service advisors, warehouse teams, fleet account managers, and automated workflows.

Best-Fit Tire Retail & Service Decisions

Which tire should be recommended for a specific vehicle, driver profile, climate, budget, and inventory position?
Which appointment slot should be offered based on bay availability, technician skills, tire availability, and customer urgency?
Should a tire road hazard or warranty claim be approved, denied, or escalated?
Which supplier should fulfill a tire order when local inventory is unavailable?
Which store or warehouse should allocate inventory to an online order or fleet account?
Which tires should be replenished, discounted, transferred, or discontinued?
Which service package should be recommended with a tire sale, such as alignment, rotation, balancing, TPMS, or seasonal storage?

2. Tire Retail & Service System Architecture

A tire business typically runs several systems: POS, fitment data, supplier feeds, appointment scheduling, shop management, eCommerce, fleet account billing, and inventory. DecisioQ should be accessed through the backend service layer so the application can enrich each decision request with clean operational context.

Component	Integration responsibility
Customer / vehicle entry point	Captures year, make, model, trim, VIN, tire size, driving conditions, budget, and urgency from POS, eCommerce, or service advisor workflow.
Fitment and product catalog	Provides compatible tire sizes, OE fitment, plus-sizing rules, speed/load requirements, brand, season, warranty, and performance attributes.
Inventory and supplier layer	Normalizes store stock, warehouse stock, supplier availability, lead time, landed cost, rebates, and transfer options.
Shop management system	Provides bay capacity, technician availability, service duration, equipment constraints, and appointment windows.
DecisioQ API	Evaluates weighted criteria and ranks tire, supplier, appointment, warranty, replenishment, or service package alternatives.
System of record	Stores selected recommendation, human override, explanation, template version, audit ID, and downstream order/service record.

Recommended Integration Pattern

Call DecisioQ from backend services, not directly from browser, kiosk, or mobile app clients.
Normalize fitment, pricing, availability, and service capacity before submitting a decision request.
Store DecisioQ decision IDs with estimates, repair orders, quotes, online carts, purchase orders, warranty claims, and inventory actions.
Keep criteria weights configurable in DecisioQ templates so merchandising, operations, and fleet policies can change without code redeployment.

3. Industry-Specific Decision Workflows

Decision workflow	Developer use case	Example criteria populated from tire systems
Tire recommendation	Rank compatible tires for a customer and vehicle	Fitment accuracy, safety, season, traction, warranty, price, margin, inventory, delivery time, customer preference
Good-better-best quote	Build tiered quote options for POS/eCommerce	Budget fit, brand preference, tread life, availability, margin, rebate eligibility, service attach opportunity
Appointment slot selection	Recommend service time and location	Tire availability, bay capacity, technician availability, customer urgency, travel distance, service duration
Supplier sourcing	Select supplier when inventory is short	Landed cost, ETA, fill rate, rebate, terms, reliability, return policy, supplier priority
Inventory replenishment	Recommend reorder, transfer, discount, or hold	Sell-through, seasonality, min/max stock, days supply, carrying cost, lead time, gross margin
Fleet account tire approval	Approve or route tire replacement for fleet vehicles	Fleet policy, tread depth, mileage, vehicle duty, budget authorization, safety risk, contract pricing
Road hazard / warranty claim	Determine approval, denial, proration, or escalation	Claim reason, tread depth, purchase history, mileage, tire age, photos, policy rules, customer history
Service package attach	Recommend alignment, TPMS, balancing, rotation, storage, or inspection	Vehicle condition, tire wear pattern, service history, safety need, customer value, bay capacity

4. Data Mapping for Tire Integrations

Developers should translate raw tire and shop data into business-friendly criteria and alternatives. Avoid sending only low-level catalog fields when the decision requires fitment, safety, availability, economics, and customer preference context.

Field	Type	Purpose
decisionContext	Object	Customer, vehicle, store, channel, quote, appointment, fleet account, and operating context.
criteria[]	Array	Weighted decision factors such as fitment confidence, availability, ETA, margin, price, warranty, tread life, safety, and capacity.
alternatives[]	Array	Candidate tires, suppliers, appointment slots, stores, warehouses, warranty outcomes, or service packages.
scores[]	Array	Normalized scores for each alternative against each criterion.
selectedAlternativeId	String	The tire, supplier, appointment, or service outcome selected by the user or automation.
auditMetadata	Object	User, store, source system, template version, timestamp, correlation ID, and override reason.

Common Source Data

Vehicle year, make, model, trim, VIN, tire size, load index, speed rating, drivetrain, mileage, and OE fitment constraints.
Product attributes: brand, model, season, treadwear, traction, temperature rating, warranty mileage, run-flat status, EV compatibility, noise rating, and rebates.
Store and warehouse inventory, supplier feed quantities, lead times, transfer rules, landed cost, retail price, margin, and promotion rules.
Appointment availability, bay/equipment constraints, technician certifications, service duration, alignment rack availability, and seasonal rush calendars.
Customer profile, quote history, loyalty tier, fleet account policy, previous purchases, road hazard coverage, and service history.

5. API Workflow Pattern

The same pattern can be reused for tire recommendation, supplier sourcing, appointment selection, warranty claims, and replenishment.

1. Receive POS, eCommerce, service, fleet, inventory, or supplier event.
2. Resolve customer, vehicle, fitment, product, inventory, price, and service context.
3. Select the correct DecisioQ template, such as Tire Recommendation or Supplier Sourcing.
4. Build weighted criteria from the template and operational policy.
5. Build alternatives such as tires, suppliers, appointment slots, warehouses, or claim outcomes.
6. Submit the decision request to DecisioQ.
7. Display the ranked recommendation or apply it automatically when policy allows.
8. Store decision ID, template version, explanation, selected outcome, and override reason.

Example: Tire Recommendation Request

POST /api/decisions/execute
Authorization: Bearer {token}
Content-Type: application/json

{
  "templateName": "Tire Recommendation",
  "correlationId": "QUOTE-2026-004812",
  "criteria": [
    { "name": "Fitment confidence", "weight": 30 },
    { "name": "Safety and season suitability", "weight": 20 },
    { "name": "Local availability", "weight": 15 },
    { "name": "Warranty value", "weight": 10 },
    { "name": "Customer budget fit", "weight": 15 },
    { "name": "Gross margin", "weight": 10 }
  ],
  "alternatives": [
    { "id": "TIRE-AW-001", "scores": { "Fitment confidence": 100, "Safety and season suitability": 92, "Local availability": 95, "Warranty value": 80, "Customer budget fit": 86, "Gross margin": 72 } },
    { "id": "TIRE-TOUR-017", "scores": { "Fitment confidence": 100, "Safety and season suitability": 82, "Local availability": 88, "Warranty value": 90, "Customer budget fit": 93, "Gross margin": 78 } }
  ],
  "context": {
    "correlationId": "optional",
    "attributes": {}
  }
}

Example: Decision Response

{
  "decisionId": "DQ-TIRE-81c3e2",
  "templateVersion": "Tire Recommendation v2.4",
  "rankedAlternatives": [
    { "id": "TIRE-AW-001", "score": 91.7, "rank": 1 },
    { "id": "TIRE-TOUR-017", "score": 88.4, "rank": 2 }
  ],
  "recommendedAlternativeId": "TIRE-AW-001",
  "explanation": "TIRE-AW-001 ranked highest because it fully satisfies fitment, has stronger all-weather suitability, and is available for the requested install date.",
  "auditStatus": "Recorded",
  "context": {
    "correlationId": "optional",
    "attributes": {}
  }
}

6. Implementation Guides by Tire Module

6.1 POS and Service Advisor Workflow

Use DecisioQ inside the tire quote and repair-order creation flow. The POS should gather fitment, inventory, customer preference, price constraints, and recommended service packages, then display ranked tire options with clear explanations.

Show the top three recommendations as good, better, and best options where appropriate.
Allow the service advisor to override the recommendation, but require a reason code for audit and model improvement.
Attach the DecisioQ decision ID to the quote, estimate, work order, invoice, and customer history.

6.2 eCommerce and Online Booking

For online tire sales, DecisioQ can rank products and installation locations in real time. The eCommerce backend should enrich requests with fitment data, live inventory, supplier ETAs, promotions, store capacity, and customer location.

Cache stable fitment and product attributes, but refresh inventory, price, rebates, and appointment capacity at decision time.
Use separate templates for product recommendation and installation appointment selection.
Return explanation text that is safe for customer display, avoiding internal margin or supplier priority details.

6.3 Inventory and Replenishment

Inventory decisions should compare stock actions: reorder, transfer, discount, hold, or discontinue. Developers should incorporate sell-through, seasonality, days supply, supplier lead time, margin, and local vehicle population when building criteria.

Inventory action	When to consider	Key DecisioQ criteria
Reorder	Fast-moving tire with low days supply	Demand velocity, seasonality, lead time, margin, supplier reliability
Transfer	Inventory exists in another store or warehouse	Urgency, transfer cost, source store days supply, customer promise date
Discount	Aged or seasonal inventory needs movement	Inventory age, carrying cost, season, margin floor, demand forecast
Hold	Limited supply should be reserved	Fleet commitment, high-value customer, service appointment, allocation policy
Discontinue	Obsolete or low-demand SKU	Vehicle population, return rate, aging, sales trend, replacement SKU availability

6.4 Supplier Sourcing

Supplier sourcing decisions should compare distributors, warehouses, manufacturer programs, and inter-store transfers. DecisioQ can weigh landed cost against speed and reliability rather than choosing only the cheapest source.

Normalize supplier feed data into the same score scale before executing decisions.
Include supplier reliability and fill-rate history, not only current quantity and price.
Record the chosen supplier and DecisioQ audit ID with the purchase order or transfer request.

6.5 Fleet Account Tire Decisions

Fleet workflows require policy-aware decisions. DecisioQ should evaluate tread depth, mileage, vehicle duty cycle, driver safety, budget authorization, contract pricing, and preferred tire programs before approving tire replacement.

Use fleet-specific templates because fleet approval logic often differs from consumer retail logic.
Include customer policy IDs, spending limits, approval hierarchy, and vehicle usage class in the decision context.
Route exceptions to a fleet account manager when the recommended action exceeds policy thresholds.

6.6 Road Hazard and Warranty Claims

Warranty decisions should be explainable and auditable. The claim system should submit purchase history, tire age, tread depth, mileage, photos, damage type, coverage status, and policy rules.

Return claim outcomes such as approve, prorate, deny, request more evidence, or escalate.
Separate customer-visible explanation text from internal fraud, profitability, or policy-risk notes.
Store the template version and evidence references with the claim record.

7. Reference Data Model

Entity	Important fields	Where DecisioQ uses it
Vehicle	VIN, year, make, model, trim, tire size, mileage, drivetrain, TPMS type	Fitment, tire recommendation, service package, fleet replacement policy
TireProduct	SKU, brand, model, size, season, load/speed, warranty, cost, price, margin, attributes	Recommendation, pricing, replenishment, supplier sourcing
InventoryPosition	Store, warehouse, quantity, committed quantity, days supply, aging, transfer cost	Availability, sourcing, replenishment, allocation
AppointmentSlot	Store, bay, technician, equipment, duration, capacity, promise time	Appointment recommendation, service scheduling
CustomerAccount	Consumer/fleet, loyalty tier, policy, purchase history, coverage, preferences	Recommendation personalization, warranty, fleet approvals
DecisionAudit	Decision ID, template, version, criteria, scores, selection, override reason	Traceability, analytics, compliance, continuous improvement

8. Security and Governance

Use OAuth2 or JWT bearer tokens for server-to-server API calls.
Restrict template administration to authorized operational leaders and product owners.
Never expose DecisioQ credentials in browser JavaScript, mobile applications, kiosks, or client-side code.
Log user ID, store ID, tenant ID, source system, correlation ID, and template version for each decision.
Mask or minimize customer personal data when a decision only requires vehicle, fitment, or operational attributes.
Maintain separate templates for consumer retail, commercial fleet, wholesale, and warranty workflows.

9. Performance and Reliability

Precompute compatible tire alternatives from fitment and catalog systems before calling DecisioQ.
Cache static catalog attributes, but retrieve live inventory, supplier ETA, price, promotion, and appointment capacity at decision time.
Use asynchronous queue processing for replenishment, transfer, and nightly inventory optimization jobs.
Set clear timeout and fallback behavior for POS and eCommerce flows so checkout and quote creation remain responsive.
Batch low-urgency replenishment and pricing decisions, but execute customer-facing tire recommendation decisions in real time.
Monitor decision latency, error rate, template version usage, override frequency, and recommendation acceptance rate.

10. Testing Strategy

Test type	What to verify	Example
Fitment accuracy	Only compatible tire alternatives are submitted	Reject incompatible load index, speed rating, or size alternatives before DecisioQ execution
Recommendation logic	Weights produce expected ranking behavior	All-weather tires rank higher for winter commuter profile when safety weight increases
Inventory edge cases	Out-of-stock and transfer scenarios behave correctly	Local stock zero but supplier ETA same day ranks above delayed warehouse transfer
Warranty workflow	Claim decisions follow policy	Covered road hazard claim routes to approve or prorate based on tread depth
Performance	Customer-facing decisions meet latency targets	POS quote screen remains usable during supplier feed delays
Auditability	Every outcome can be traced	Quote, order, RO, PO, or claim includes DecisioQ decision ID and template version

11. Implementation Checklist

Define the initial DecisioQ templates: Tire Recommendation, Appointment Slot Selection, Supplier Sourcing, Replenishment, Fleet Approval, and Warranty Claim.
Map vehicle, tire, inventory, supplier, customer, appointment, and service data fields to decision criteria.
Create backend services that build alternatives and criteria without exposing API credentials to client applications.
Persist decision IDs, ranked alternatives, explanations, selected outcomes, and override reasons in the system of record.
Add UI components that clearly present recommended tire choices and the reason behind each recommendation.
Create admin controls for template versioning, criteria weights, and effective dates.
Build automated tests for fitment, inventory, supplier, fleet, and warranty edge cases.
Monitor recommendation acceptance, override reasons, margin impact, stockout reduction, and customer satisfaction.

12. Best Practices

Separate fitment validation from decision ranking. DecisioQ should rank valid alternatives, not compensate for invalid tire data.
Do not hard-code merchandising policies in POS or eCommerce code when they can be represented as configurable DecisioQ criteria weights.
Use different templates for consumer retail, fleet accounts, wholesale, warranty, and replenishment because their objectives differ.
Keep customer-facing explanations simple, helpful, and safe, while keeping internal decision details available for audit.
Version every template and store the version with each quote, order, claim, or replenishment decision.
Review override reports with store managers and merchandising teams to improve templates over time.

End of Tire Retail & Service Industry Edition