Key highlights
30 percent
faster recipe and ingredient suggestions
~30 percent
growth potential for upselling
30 percent
increase in enhanced user engagement
Challenges
The website lacked advanced search capabilities and personalized recommendations.
Users found it difficult to discover recipes tailored to dietary needs, reducing engagement and sales opportunities.
Solution
1.
Implemented an advanced solution powered by a large language model (LLM) that leveraged LangChain agents to process queries, identify dietary preferences, and locate desired recipes.
2
The solution dynamically generated recipes, ingredient lists, or ready-to-eat meal options by retrieving data from the recipe and ingredient database.
3
The solution assisted users in purchasing available products and recommended complementary items.
Impact
Simplified discovery
Recipes tailored to dietary preferences were easily accessible.
Boosted engagement
User interaction and sales significantly increased.
Extended visits
Website usage duration grew, leading to more purchases.
Additional revenue
Upselling and cross-selling strategies effectively drove revenue growth.