Build, manage DPC as interface platform enhancing CRM
Category
Data Analysis, Digital Product Creation, Algorithm & relational configuration, Pricing Analysis, Product management
Applications
POWERBI JIRA, SAP, HYBRIS.MS EXCEL, GERBER TECHNOLOGY
Year
2023
OBJECTIVE
Empower The Customers: Our goal was to bridge the gap left by the broken HYBRIS system, providing a seamless platform for ordering products within the new SAP system. By prioritizing certification accuracy and transparent pricing details, we aimed to deliver an intuitive solution that enhances the customer experience and drives efficiency in product ordering
Transforming E-Commerce Success: Leading the DPC Integration Initiative. Developed the project, swiftly addressed the challenges of a failed HYBRIS system by developing a user-centric B2B sales integration tool, seamlessly incorporating SAP sales data. With 85% of product data meticulously rebuilt under our guidance, optimized customer experience to order product bringing potential saving $1M for 2023 and setting the stage for unparalleled growth and efficiency.
OUTCOME
How it Works
Derive SAP data form relational logical table to interface platform to order product
Merge SAP data to interface creating coherence in data validation
Certification conflict resolved by relational table setting save time for customer and quote team
Detailed pricing based on option combo and could be revised for annual price change
CHALLENGES
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Tackling Complex Data Dynamics: The project involves navigating vast datasets, intricately linked by certification standards, compatibility rules, and sophisticated pricing structures, demanding precision and thoroughness.
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Synergizing Data and Apparel Expertise: Successfully integrating user options mandates a fusion of technical prowess and in-depth knowledge of both data management intricacies and garment specifics.
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Resolving Option Conflicts with Precision: Overcoming challenges extends beyond data loading; it necessitates a nuanced understanding of domain intricacies to effectively mitigate conflicts and ensure a seamless user journey.
Guiding Tool for Customer Preference
Addressing made-to-measure complexity, our algorithm facilitates pattern alteration beyond typical ranges for complex body types. Customers are guided to select the closest next size, following alert instructions, ensuring optimal fit. Our system allows customers to override system-generated sweep or raise values if they prefer, ensuring their fit preferences are honored. Additionally, the system ensures alterations stay within offered parameters.
Elevating Efficiency: Developed Honeywell's Default Smart Sizing Customer Input Sheet
OBJECTIVE
Elevate Customer Experience through Tailored Transparency. Our primary focus is on enhancing customer satisfaction by overcoming challenges in size accuracy caused by alterations in made-to-measure fit functionality. By crafting a transparent sizing sheet, we empower customers to confidently choose their preferred fit, fostering a seamless and personalized shopping journey.
OUTCOME
Enhanced Customer Satisfaction input sheet: With customer-provided input, preferred special alterations became visible, granting customers the choice to modify as needed. Additionally, an alert system aided in selecting the right fit, resulting in a 46% reduction in sizing returns and saving $1.4 million."
Automation initiation from customer input sheet to pattern development.
Streamlining our process, customer size input sheets undergo automated data processing through a series of phase gate checks. Subsequently, this information is fed into another interface, seamlessly integrating size data with customer details. Finally, the combined data is converted into Gerber format and stored in CSV files, ensuring efficient management and utilization of critical garment information.
