E-commerce guide
Token compression for e-commerce AI
E-commerce platforms use AI for product recommendations, search, review analysis, and customer support. Each use case sends product data to LLMs — and product catalogs are large.
E-commerce AI token hotspots
An e-commerce AI system sends: product descriptions (200-500 tokens each), customer reviews (100-300 tokens each), search queries (10-50 tokens), and purchase history (500-2000 tokens). For a store with 10,000 products and 1,000 daily AI queries, that is millions of tokens per day.
Cost savings at scale
| E-commerce Scale | Daily AI Calls | Monthly Cost | With Compression | Savings |
|---|---|---|---|---|
| Small store | 500 | $150 | $53 | $97 |
| Mid-market | 5,000 | $1,500 | $525 | $975 |
| Enterprise | 50,000 | $15,000 | $5,250 | $9,750 |
Frequently asked questions
Does compression preserve product details?
Yes. SuperCompress keeps lines that match the user query. For a question about 'red shoes size 10', it keeps product attributes matching those criteria.
Can I use it with Shopify or Magento?
Yes. Add SuperCompress as middleware in your e-commerce AI backend.
Build with less context
Put compression in front of your next LLM call.
Use the hosted API or run SuperCompress locally. Keep the evidence, drop the token waste, and measure the savings before it reaches your model.