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What the AI reads from the consultation

6 input signals
🐾
Species and Breed
Determines product range eligibility, feeding volumes, and breed-specific risk flags (e.g. large-breed joint, brachycephalic respiratory notes).
Dog, French Bulldog, 3 years old, 12 kg
🩺
Clinical Concern or Diagnosis
The primary reason nutrition is being considered - drives product category selection. Free text accepted; AI maps to condition taxonomy.
Recurrent urinary crystals, suspected struvite
🥣
Current Diet
Existing food brand and type if known - used to flag ingredient conflicts, detect gaps, and frame the recommendation rationale for the owner.
Generic dry kibble, brand unknown, fed ad libitum
🗓
Life Stage and Reproductive Status
Puppy, adult, senior, pregnant, lactating - gates life-stage-specific product lines and feeding calculations.
Adult, neutered male
⚖️
Body Condition or Weight Trend
BCS score or vet's brief note - used to calibrate caloric targets and flag weight-management products if relevant.
BCS 6/9, owner reports weight gain over 6 months
📲
Owner Delivery Preference
SMS or email address for the recommendation - collected once at patient registration and pre-filled from the practice management system on subsequent visits.
Email: owner@example.com or mobile number
Vet
V1
Open patient record
0–5 sec

Vet opens the patient in the practice management system or the Virbac Vet Hub directly. Owner contact details are pre-populated from registration.

vs current system

Previously required navigating to a separate Loginut URL and re-entering patient data already held in the practice system.

V2
Capture consultation summary
15–25 sec

Vet speaks or types a 2–3 sentence summary covering the clinical concern, relevant history, and any owner preferences. No structured form to fill.

vs current system

Loginut required a structured multi-field form with dropdowns, weight fields, and feeding frequency inputs - averaging 5-8 minutes per submission.

V3
Review AI-generated recommendation
5–10 sec

AI draft appears in under 3 seconds: primary product, feeding guide, clinical rationale paragraph for the owner, and a confidence flag if any input was ambiguous.

vs current system

Vet no longer authors the recommendation - they review and approve it, shifting the cognitive burden to the AI.

V4
Approve or edit, then send
5–10 sec

One-tap approval sends the recommendation to the owner. Vet can edit the rationale text or swap the suggested product before sending. No printing, no email drafting.

vs current system

Loginut output was a PDF the vet had to print or forward manually. Owner delivery was not integrated.

Vet summary → AI engine (V2 triggers A1–A5 in parallel, <3 sec)
AI draft → Vet review screen (A4 output appears at V3)
Vet approval → Owner delivery (V4 triggers O1)
AI Engine
A1 AI
Parse consultation summary
< 1 sec

NLP layer extracts species, breed, age, weight, clinical concern, current diet, and life stage from free text. Missing fields are inferred from the patient record or flagged for vet confirmation.

A2 AI
Match to Virbac product catalogue
< 1 sec

Extracted clinical profile is scored against the full Virbac nutrition range using condition taxonomy, life-stage gates, and contraindication rules. Top 1–2 products are ranked by fit score.

A3 AI
Calculate feeding guide
< 1 sec

Daily feeding amount and transition schedule calculated from body weight and BCS. Presented in plain language for the owner, not clinical notation.

A4 AI
Draft owner rationale
< 1 sec

Short paragraph (3–5 sentences) written in plain, reassuring language explaining why this product was chosen and what benefit the pet should see. Vet name and practice are auto-inserted.

A5 AI
Generate personalised purchase link
< 1 sec

Unique tracked URL is minted for this recommendation event, linking species, product SKU, vet ID, and practice ID. Link is embedded in the owner message and expires after 30 days.

A6 AI
Monitor purchase event and trigger commission
Real-time on purchase

When the owner completes a purchase via the tracked link, the event fires a webhook to the commission ledger, credits the vet's account, and logs the sale against the recommendation record.

Owner purchase → Commission ledger (O4 triggers C2 via webhook, real-time)
Commission credit → Vet dashboard (C3 updates C4 instantly)
Pet Owner
O1
Receive recommendation by SMS or email
Immediate post-approval

Message arrives within seconds of vet approval. It includes the pet's name, the recommended product, a plain-language rationale, the daily feeding guide, and the purchase link.

vs current system

Previously the owner left the consultation with a printed sheet or no formal recommendation at all. The Loginut PDF was rarely forwarded.

O2
Read personalised rationale
Owner-paced

The message is written for the owner, not the vet - no clinical shorthand. It explains the benefit in terms of the pet's specific condition and what improvement to expect.

O3
Tap purchase link
Owner-paced

Link opens the Virbac online store (or a designated retail partner) with the correct product pre-selected and the transition guide available. No search required.

vs current system

Previously owners had to search for the product themselves, often defaulting to a generic alternative or abandoning the recommendation entirely.

O4
Complete purchase
Owner-paced

Standard checkout. The tracked link ensures the sale is attributed to the originating vet and practice regardless of when the purchase is completed (within 30-day window).

Commission Flow
C1
Recommendation event logged
Instant on send

At the moment the vet sends the recommendation, a record is created in the commission ledger: vet ID, practice ID, product SKU, patient reference, timestamp, and link token.

C2
Purchase event received
Real-time

When the owner buys via the tracked link, the retail platform fires a webhook. The ledger matches the link token to the recommendation record and marks it as converted.

C3
Commission auto-credited
Real-time

Commission amount (based on product SKU and agreed rate) is posted to the vet's account in the dashboard. No manual reconciliation. No submission required from the practice.

vs current system

Loginut and the Vet Dashboard were separate systems - commission tracking required manual cross-referencing of prescription records and sales data, often with a month-end delay.

C4
Vet dashboard updated
Real-time

The commission dashboard shows a live feed: recommendation sent, purchase status (pending / converted / expired), commission earned, and a rolling total. Vets see the direct link between the clinical action and the reward.

vs current system

The old dashboard showed aggregate commission figures with no line-of-sight to individual recommendations, weakening the behavioural reinforcement loop.