QooperLabs

Product / Retail & E-commerce

PetsPOS — AI-Enhanced Point of Sale

Multi-platform POS for US pet businesses — desktop, web, and mobile — with AI-powered stock analytics and reorder predictions.

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Client

PetsPOS — US pet retail

Status

Launched

Industry

Retail & E-commerce

PetsPOS — US pet retail project in progress

The outcome

Stockouts down with predictive AI reordering across locations

We keep the story focused on what changed for the business: who can do what now, how the team works differently, and what the numbers say.

  • [ADD METRIC] stores live
  • [ADD METRIC]% reduction in stockouts
  • [ADD METRIC] transactions/day processed

The challenge

Why the existing way wasn't working

Pet store owners managed operations manually, experienced regular stockouts on popular products, overstocked slow sellers, and had no cross-location visibility for multi-store operations.

Our approach

How we got from problem to product

Unified POS covering sales, inventory, and reporting across desktop, web, and mobile — with AI capabilities that surface stockout risks and reorder suggestions before they affect business. Offline-first transaction queue so no sales are lost during connectivity problems.

What we built

The product, the system, the details

Single codebase for desktop, web, iOS, and Android. Offline-first transaction queue with sync on reconnect. AI analytics layer analysing sales patterns to generate reorder predictions. Cross-location inventory visibility. Platform-specific builds via GitHub Actions.

Tech stack

Tools we chose and why

FlutterDartSupabasePostgreSQLOpenAI APIGitHub Actions

Client feedback

What the team had to say

"[ADD TESTIMONIAL]"

PetsPOS — US pet retail

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