Built for
Grooming-Preview Platform
Groom X Gets Clients Checked In Faster
Your groomers turn a spoken request into an AI style preview. Your team confirms the look before the first cut.
AI STYLE PREVIEWS · PREDICTIVE MAINTENANCE · GINGR + MOEGO SYNC · CLUTCH-VERIFIED · PET-X SOLUTIONS
The problem
Verbal grooming briefs leave too much room for guesswork.
A pet owner describes the cut they want. Your groomer pictures something slightly different. Records live in scattered notebooks and separate scheduling apps. Small gaps turn into wrong cuts and unhappy clients.
Groom X closes that gap before the clippers start. Your groomer types the request. AI generates a breed-specific preview. The client approves the exact look first.
Your salon stops guessing what "a little off the top" means.
Groom X is an AI-powered check-in platform with breed-specific style previews, customer and pet records, and Gingr or MoeGo schedule sync.
In one screen
One request, one preview, one approval.
Your groomer types the grooming instruction. Groom X generates a breed-specific preview and lets you refine it. Once approved, it's shared with the client by email or text.
One dashboard
A dashboard that shows the day at a glance.
See active and pending sessions, recent check-ins, and upcoming appointments. An equipment panel flags each tool that needs attention, so your team acts on servicing before a clipper fails mid-session.
Customer and pet records
Customer and pet records that stay in one place.
Store breed, coat type, coat color, preferences, and medical notes for every pet. Past session history sits beside each profile, so your groomers pull up the full picture before work starts.
Core capabilities we built
Manage every customer and pet profile.
Store contact details, breed, preferences, and medical notes, all encrypted and searchable.Preview the cut before it happens.
Turn a written instruction into a breed-specific AI image the client approves upfront.Catch equipment issues early.
Track tool usage and get maintenance alerts before downtime hits your schedule.
Track each grooming session in real time.
Log timelines, assigned groomers, and equipment used, then notify clients of confirmations and changes.Document every session automatically.
Generate a PDF of session details and preferences, shared with client and groomer by email.
Considering an AI build for your pet care platform?
30 minutes. Bring your scheduling stack. Leave with a scope to lock.
Our process
Four stages from brief to live deployment.
Conceptualization
Design
Development
Deployment
We scoped Groom X from a signed Functional Specification Document and delivered it in four fixed phases. No open-ended cycles, no surprise scope.
Architecture
Built on scalable, cloud-based architecture for production operations.
Groom X runs on a Next.js frontend and a FastAPI backend in Python. MongoDB stores the data, with daily backups on MongoDB Atlas. AWS infrastructure supports horizontal scaling as studios grow, with CI/CD pipelines streamlining every update. An AI model turns grooming instructions into breed-specific style previews, and a separate LLM reads equipment usage to write context-aware maintenance alerts. Stripe handles secure payments, including subscription plans. Groom X syncs appointments both ways with Gingr and MoeGo, and resolves scheduling conflicts automatically.
Figure 1. The Groom X architecture: a Next.js frontend sends instructions to a FastAPI backend, which persists records to MongoDB and calls an AI/LLM engine for the preview. Approved previews sync via Gingr + MoeGo.
Outcomes
Reduced miscommunication. Streamlined operations. Predictable maintenance.
Before
Manual operations.
Verbal briefs. Fragmented records. Reactive maintenance. Scheduling conflicts.
AFTER
Unified platform.
AI-generated previews. Centralized records. Predictive maintenance alerts. Synchronized scheduling.
Clarity
Guesswork eliminated.
Records
History centralized.
Maintenance
Proactive
Delivery
Fully functional on schedule.
Quality
Zero major bugs at launch.
Check-in
From day-one adoption.
Questions buyers ask first.
From a signed Functional Specification Document that fixed every feature upfront. Working to that fixed scope, the MVP shipped on time with zero major bugs.
Streamline your grooming salon with AI and automation.
Groom X is a fixed-scope FSD build on Next.js, FastAPI, MongoDB, and AWS. See how we would scope yours.
Related Work
Explore similar projects and services we've built for clients across healthcare, education, and automation.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Insights From The Kodexo Labs Team
7 Promising Agentic AI Use Cases with Real-World Business Examples for 2025
August 2025 · By Mohammad Ahmed Rajput
Explore 7 promising agentic AI use cases for 2025, including autonomous customer support, supply chain optimization, and personalized retail experiences, with real-world examples demonstrating 20-60% efficiency gains and ROI within 6-18 months across healthcare, sales, retail, and more.
Agentic AI Applications, Benefits and Challenges in Healthcare
August 2025 · By Mohammad Ahmed Rajput
A comprehensive guide to agentic AI applications in healthcare for 2025, covering benefits, challenges, technical infrastructure, leading platforms, and implementation best practices.
Agentic AI vs. Generative AI: Key Differences and How to Choose the Right One in 2025
July 2025 · By Mohammad Ahmed Rajput
Explore the key differences between Agentic AI and Generative AI in 2025, focusing on autonomy, decision-making, and content creation. This guide covers their characteristics, use cases, and decision frameworks for businesses aiming to optimize operations or creative workflows.