Hank's Fine Furniture
About Hank's Fine Furniture
Founded in 1975 by Hank Browne, Hank's Fine Furniture has grown to 18 stores in 4 states and is one of America's Top 100 Independent Furniture Retailers. From the very beginning, Hank's Fine Furniture's success has been built on offering quality furniture, bedding and accessories at excellent values. As a family-owned business, Hank's Fine Furniture has thrived because of our dedication to service after the sale. You, the customer, have been the most important part of our business for over 40 years. You can read more on their about page.
About The Project
Mission: Get a new website built before their current Adobe Muse website expires. Also build custom e-commerece solution so users can place orders on the website. The e-commerece solution uses the Storis API. All of their furniture inventory exist in this platform. We build the products on this site to sync with the products in Storis as well as adding and subtracting from inventory when orders are placed.
Technologies Used: Laravel, Tailwind CSS, Storis eBridge API, Google Maps API, Google Geocode API
Links
Before: From the Web Archives
After: Visit new live website
Video Demo
Summary
This project was very fun. The website is very clean and easy to use. The e-commerce solution is very easy to use and turned out to be a great success for the client. They did $70,000 in sales on the first month after launch through the website. So their ROI for the work we did was very high. We built tools on the backend of the website to give them to ability to do all the things they need to do so that the website would require less maintenance for the future. I created the Location Search page with a sidebar to display search results and the main section is a google map. I created this using Google Geocoding API on the backend to automatically save the latitude and longitude of the address they enter for their store's location. Then when a search is made on the frontend, it searches the database for any location within 100 miles of the search using the Haversine Forumla. At first I implemented this operation using PHP, however, I discovered a way to do it with an SQL query that was much faster.
