Panther ML/AI Pricing Recommendation Tool

Small and medium shops are facing intense competition in the market. The post-pandemic era has caused all retail industries to need online tools with automation systems to compete and survive. Working with data in real-time has become one of the essential solutions for every company to make better choices.

MusicTech Lab partnered with Panther Pricing to build a cloud platform that generates automated price recommendations for retailers in Germany — allowing brick-and-mortar companies to eliminate negative margin contributions from online sales.

About Panther Pricing

Panther Pricing is a German company founded in 2018 and based in Frankfurt, dedicated to providing innovative online services to boost retailers in Germany.

Technologies Used

PostgreSQL

Database

Python 3

Backend development

Vue.js

Frontend framework

FastAPI

Modern Python web framework

SQLAlchemy

Python SQL toolkit

Services & Deliverables

Frontend & Backend

Full-stack development — Vue.js frontend and Python/FastAPI backend.

IT Staff Augmentation

Embedded developers working alongside the client's internal team.

Challenge

Panther Pricing encountered three major challenges:

System Performance

Enhance system performance and scalability to handle growing data volumes.

Missing Expertise

Augment knowledge and expertise that was internally lacking.

Time Sensitivity

Urgency — no time for prolonged onboarding, results needed immediately.

The client sought a reliable technology partner possessing specific expertise, ready to assist their internal development team. Given the urgency, they anticipated results at the earliest opportunity.

Client Engagement Process

Brief & QA

Initial information gathering and technical questions.

Introduction Call

Meet the team, understand the business context.

Discovery Workshop

Deep dive into requirements, constraints, and architecture.

Ballpark Proposal

Scope, timeline, and cost estimate.

Decision

Agreement on scope, technology, and team composition.

A consensus was reached that developing a new frontend from the ground up and integrating it with the existing backend would yield the most favorable outcomes within the specified budget and timeline. FastAPI was identified as the ideal technology for the backend migration.

Solution

MusicTech Lab recommended migrating from the old technology (Flask) to FastAPI and refactoring the existing functionality. The objective was to optimize and reduce the technical debt of the application.

Flask → FastAPI Migration

Migrated the backend to FastAPI for better performance, async support, and modern Python practices.

Reusable Component Library

Designed reusable frontend components as building blocks for new features, maintaining visual consistency.

Design System

Built a library of design patterns, rules, and UX guidelines to prevent inconsistencies at scale.

Performance Optimization

Separated backend and frontend, significantly improving application performance.

The Team

Mateusz

Vue.js Developer

Michał

Python Developer

Jakub

UX/UI Senior Designer

Mariusz

Delivery Manager

Testimonials

Panther project has no middle management. Flat structure enables us to take the responsibility, make confident decisions, and contribute to the client's product development.

Mateusz Bryzik — Frontend Developer

The team consisted of three experienced and highly motivated developers, we had frontend and backend developers, and we were working closely with UI/UX designers.

Nils Streitbürger — Managing Director, Panther Solutions GmbH

See full review on Clutch

The Result

The comprehensive integration of research, design, and development led to a powerful platform capable of automating 100% real-time price recommendations using AI.

Online Price Labeller

Fully integrated, always up-to-date online market prices for each item.

Optimal Price Proposals

Ideal online price suggestions for optimal margin exploitation.

AI-Based Forecasts

Sales forecasts, price elasticities, competitive pricing, item performance, and inventory considerations.

Price Markdown Optimization

Intelligent markdown strategies for lifecycle and inventory management.

Yield & Liquidity

Improved yield and liquidity through data-driven pricing decisions.

Process Simplification

Reduced manual work and operational costs through automation.

By separating the backend and rewriting the frontend from scratch, we significantly improved Panther Pricing's performance while maintaining a reasonable scope and cost. The modular frontend allows adding new functionalities without compromising visual consistency.