AIGC Applications in Fresh E‑Commerce: 2024 Overview

With the rapid development of AI‑generated content (AIGC), the fresh e‑commerce sector is gaining new opportunities. This article outlines the 2024 practical applications of AIGC in fresh goods, focusing on text, image and short‑video representations to create more appealing product expressions.

Background : Competitive markets require intuitive and attractive product displays. AIGC enables efficient, creative material production, allowing low‑cost, high‑quality text, image and short‑video generation tailored to fresh‑food characteristics.

Technical Overview : Large language models and multimodal models are used to extract key product attributes (price, taste, freshness, size, logistics) from textual data and user reviews, then summarize them into concise, consumer‑friendly copy.

Application Cases :

Text generation for short titles and review summaries.

Image synthesis and low‑cost generation of scene pictures (e.g., baskets, kitchen tables).

Bad‑image detection and remediation to improve user experience.

Dynamic GIF scripts for fresh products, covering appearance, slicing, and detail shots.

Sample prompt for review generation (shown in code):

"" 
#Role
You are a senior e‑commerce expert with 10+ years experience, generate authentic, non‑exaggerated, colloquial Chinese reviews...
#Goals
Produce product reviews in Chinese JSON format...
##Reference
- Prohibited words
- User behavior rules
- Price rules
- Taste rules
- Freshness rules
- Quantity/specs rules
- Service rules
Reply JSON format: {"a":"User behavior","b":"Price","c":"Taste","d":"Freshness","e":"Quantity","f":"Service"}
""

AI‑Assisted Brand Personality : A style library for Chinese fonts and visual tones is built to enrich the “Taobao Grocery” brand, enabling flexible design across scenarios.

Summary & Outlook : In 2024, the team explored title generation, multimodal defect detection, image synthesis, font style libraries, and optimal GIF patterns. Future work will deepen AIGC integration, including voice‑driven selling points, LLM‑based storyboard generation, long‑video creation, and richer scene expression, aiming for a smarter, more personalized fresh‑food shopping experience.