An effective cannabis e-commerce platform should separate the product from the lot at the data-model level. The product represents the commercial item shown in the catalog. The lot represents the specific batch of inventory available for that product. This separation preserves a familiar commerce structure while supporting the batch-level detail required in cannabis operations.
Find out Why Lot-Aware Search Matters, Read the full article.
For customers, this means faster discovery and greater confidence in what they are buying. They can search by the details that matter to them, filter down to relevant lots, and make purchasing decisions without waiting on a sales representative.
Read the full article.
https://sellstack.shop/reading-room/lot-aware-search-the-feature-cannabis-ecommerce-has-been-missing
Elasticsearch is widely used to power product search, filtering, sorting, and faceted navigation in modern e-commerce platforms. Cannabis e-commerce, however, requires much more than traditional product search. The search engine must understand not only product data, but also the lot data behind each product. A lot-aware search engine should be able to answer questions such as:
• “Show me products with available lots above 25% THC.”
• “Show me products where CBD is between 10% and 20%.”
• “Show me all available products for this strain.”
Read the Article, link in bio.
Imagine a medical cannabis patient returning to an online store to place their next order. Their medical documentation is active, they have a defined amount of cannabis available to purchase, some of that allowance may already have been used, and certain products may be covered while others need to be paid out of pocket.
Imagine a wholesale cannabis buyer looking for flower above 25% THC from a specific strain, available now, and harvested within the last 90 days. In most e-commerce platforms, that search is impossible. Buyers can filter by product name, category, brand, or standard product attributes, but not by the characteristics of individual lots. That works well for many industries, but cannabis e-commerce is different.
