Background:
Adar is B2C/B2B business that works with large wholesalers and retailers in the medical uniform field. It is end-to-end platform where approved clients can easily place orders, track, maintain their activity. This project was part of my 3 month contract with this client during which I helped them to improve user experience of their platform, created an asset library, worked on the consistency through out their platform.
Initial Research & User Flow:
I went through the placing order process myself to see the points where user face with a problem. I was told that this is also a big problem for a business itself. If user can not order the items most of them will leave a note at a shipping step of the order process.
If user leaves a note somebody from sales department has to review that order manually. Which means longer delivery times (3-4 days). Most of the platform is highly automated. So business wanted to eliminate this problem.
Talking to Users:
So through research I found out that there are mainly 2 types of users:
long term clients
new clients.
Old clients:
Most of clients know what items are similar to the ones they usually order (they input SKU number). If they are not sure about the stock they also leave a notes at "review order" step
If user leaves a note somebody from sales department has to review that order manually. Which means longer delivery times (3-4 days).
Pain Points:
Need to remember the SKU of similar item to add a notes at "order review" step
Long order processing times.
Need to contact somebody from company before placing order.
Long search time for a client.
Ideating:
New clients:
Mostly call or email to find out about availability. Also takes them some time to find similar style items. Most of the platform is highly automated and they want shorter order processing times without a need of human interaction. So business wanted to eliminate this problem.
Goals:
Full automation of an order process.
Less human interaction for sales department.
Quick and seamless order process both for old and new clients.
Since screen is already information heavy I was thinking how I can effectively use available space without making user spend too much time choosing. Suggesting user exact size/color similar items makes selection process faster (some of styles go out of stock quickly since the company is wholesellers). Similar items should be only available if items they are looking for is out of stock so they not distracted by additional content on the already information heavy screen.
Design principles that I followed are:
Simplicity: page is information heavy so the feature should be simple and easy to understand.
Effectiveness: since it is not a mass market brand and we are not trying to sell them different styles. Only Specific items (in this case similar items) should be suggested.
Test:
After creating the prototype, I tested the feature with some clients and company members to assess its usability. I intended to assess the user interface design, with a focus on the key user task flows:
Ensuring there are simple and clear options for users to choose from.
Allowing quick selection without the need to verify every item individually.
Avoiding overcrowding the screen with excessive information or elements.
I got great feedback from the participants to incorporate into the final iteration.
Finished Screens:
In this screen user inputted greater amount than currently available. So suggestion of similar styles feature was enabled.
In the same section, I once again specify selected color and size for similar items. The styles can be easily previewed by clicking on the style number, which I have now made more prominent.
Next Steps:
To enhance the design further, my next steps could involve conducting user testing to determine the optimal number of options for users to make a buying decision. This testing would involve presenting different quantities of product options to users to see which range is most effective in facilitating a decision.
Additionally, I could explore if displaying the remaining amount of a product motivates users to purchase immediately to avoid waiting for the next restock. This can help determine whether scarcity influences buying behavior positively.
Lastly, incorporating a notification feature for items returning to stock can engage with users who were previously interested but missed out due to unavailability, potentially increasing sales and customer satisfaction. Through these tests and implementations, I could fine-tune the design to optimize user experience and drive conversions.