AI-Powered B2B E-commerce Lookbook Generator As an E-commerce specialist, I often see retail brands struggling to create high-end, "Retail Ready" lifestyle imagery for national buyers quickly. I built this Melius workflow to solve that. It’s an automated canvas that takes raw product images, processes them through specialized AI agents with tailored prompts, and outputs publication-grade B2B lookbook assets in minutes instead of weeks.

My Process Steps:

Input Node: Uploaded base product layouts (e.g., sustainable retail packaging).

Melius Agent Prompting: Configured a creative agent to analyze the asset and apply a high-end, editorial lifestyle background with strict whitespace rules.

Refinement Node: Passed the generated output through an upscaling and color-grading node to match national retail compliance and premium aesthetics.

Feedback on Melius: Melius completely turns the thrash of traditional prompt-and-pray AI workflows into a structured visual canvas. Being able to see the node-by-node execution allowed me to tweak specific parameters instantly without losing the design direction. The speed at which it generates production-ready imagery is a game-changer for digital marketers and agency owners!

Wow this looks neat and premium! Did you design this using Melius?

The Madhav Store Dashboard is an interactive retail analytics dashboard built to analyze sales performance, profit trends, and customer purchasing behavior. The objective of this project was to transform raw sales data into meaningful business insights that support data-driven decision-making.

This dashboard provides a clear overview of revenue, quantity sold, profit distribution, and payment preferences across different states and product categories.