The Pricing Tool is the engine behind every price tag, discount, and deal — powering pricing, coupons, promotions, and loyalty customized at both item and local store level.
Revamp existing legacy pricing tool to consumer-grade experience web application that enables analysts to seamlessly price and coupon 100000+ products by eliminating multi-step, repetitive, and distributed system processes and ensuring their tasks are streamlined and optimized into one system.
The achievement lies in the successful reception of our designs and implementation by users, following two previous failed revamp attempts by different agencies.
Although I'm unable to disclose specifics due to NDA, please explore the work highlights below. Feel free to reach out to me for further details.
Note: These wireframes are purely representative and use obfuscated data. They are not reflective of the final product.
For more detailed case study reach out to me at nea.patil.02@gmail.com
Faster and accurate multi-item pricing and offers of items with no repetitive manual actions, a fully keyboard-accessible UI, and upload of prices
Price update screen
Note: These wireframes are purely representative and use obfuscated data. They are not reflective of the final product.
Note: These wireframes are purely representative and use obfuscated data. They are not reflective of the final product.
For more detailed case study reach out to me at nea.patil.02@gmail.com
and demo sessions spanning across 12+ departments and roles over 15+ stakeholders and SMEs were iteratively conducted to gather information about :
Built in collaboration with an SME and Business Analyst based on the interviews and demos conducted.
It was iteratively updated while we conducted discovery for each module after initial take-off discovery where we identified user groups and roles and responsibilities.
What we tracking in the persona library :
From the the interviews and screen audits I synthesized pain points and needs.
Significant users were experts from the old system, and had rejected adoption of new tools before. To avoid this I gathered some insights on features they would love to carry over.
Users wanted to maintain the color codings even though they may seem redundant because their eyes were trained to find data quickly on screen without having to read.
The legacy system allowed users to use only the keyboard with expert shortcuts. Newer tools meant frequent switching between mouse and keyboard which was time consuming.
Missing contextual identifiers, information critical to decision making, processing, etc. in old system led users to have multiple windows and systems open and undertake sub-tasks to uncover and led to delays and errors
Over decades to address missing functionalities users developed physical artifacts to tackle it. eg. Wallet calendars for week numbers, post its for frequent item IDs.
Since the legacy UI is old, new employees found it extremely difficult to learn and operate it. Inconsistency in information architecture and data elements over the system due it being a bandaged legacy system proved it to be very taxing for users to identify and understand it each time
All tasks involved manual data entry with minimal automation, assists, and consulting distributed systems for data, most basic tasks turned into complex and time-consuming tasks requiring user to block off large chunks of their work time to accomplish them rather than focus on decision and research tasks.
Due to limited screen space and processing, errors in data modification were encoded, or not shown, Users learned of failures through lengthy investigative processes.
With no password and just char based identifiers to sign on, it provided no security to users and their actions. Most users had access to all data and actions even outside their role, leaving the system with poor control over price data modifications.
Due to screen size limitations of 3270, most data is in codes or abbreviations, or contextual data is missing, or not reflecting the correct object status. This leads to adding verification, prevention, and investigation tasks for users.
Based on the knowledge gained in discovery, collaborated with Product management, stakeholders, Technical team, and managers to advocate for UX priorities during Program Increment and roadmap planning for features.
Since Wegmans internal tools did not have a consistent UI with standardized branding, I built a design library with patterns for complex data tables and how user actions interact with data tables.
To ensure maximum consistency between designs and the final product, I collaborated with developers to define the specs CSS Variables of our UI component Library Mudblazor which provided us with basic out-of-the-box components.
Developers built a Wegmans UI Component page with samples and code snippets to ensure consistent usage and library maintenance.
This approach increased our speed of development with consistency. New components that needed to be added had a low overhead of design dependency.
After auditing and analyzing the content on old screens, I created a IA with modularized components for each information needed. This was done to standardize how information is displayed across current application and across other web apps where these will be needed.
Neha Patil
UX Researcher & Designer