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CASE STUDY
Overview
They say “Luck is what happens when preparation meets opportunity”
If your customer walks into your store but you do not have the product they need, you`ve lost your opportunity because you are not prepared.
If your customer walks into your store but you do not have the product they need, you`ve lost your opportunity because you are not prepared.
Background
Our client runs a cannabis retail business. The assortment of products is diverse, and so are the individual tastes of customers.
If the products they like are out of stock, the customers could
Leave the shop
Buy a product they potentially would not like
What if we utilize AI to predict demand?
Challenges
01
Large array of products
02
Products selling out quickly
03
New products appearing often
04
Individual preferences are sophisticated
Solution / Approach
Build a service that ingests data about users and their experience
Incorporate feedback about the products tried by the customers
Combine with popularity data and other data sources
Build an AI Engine to match products and preferences
Support similar products
Visualize the reports
Customer`s Individuality
Product Details (THC level, strain, flavor etc)
Similar Products
Current Inventory
Popularity Data
Other Data Sources
Artificial Intelligence Engine
Cloud-based data storage and analysis + visualization (dashboard, trends, specific recommendations)
Recommendations to Sales Reps
Recommendations to Business Owners
Recommendations to Customers
Recommendations to Marketing
Other Insights
Workflow
01
We built the service and tested it on a small set of products and customers
02
After achieving good results we scaled it up to many products, many options, and many customers
03
Then we had to optimize the operations so that AI running costs do not become too high
04
once the system proved to be sufficiently reliable, we connected it to the Client`s digital infrastructure
Technologies
TypeScript
PyTorch
Node.js + React
TensorFlow
3rd Party LLM
Team Size
Business Analyst / Data Analyst
Architect
Tech lead
AI Specialist
Back end developers
Front end developer
QA engineer
DevOps
Project manager
Outcomes
+24% Customer satisfaction
-18% Cases of customers leaving with no purchase
Contact Information
To coordinate next steps please contact:
MAIL
contact@zfort.com
PHONE
+1 202 9602900
ZFort Group - Your reliable partner
