Posted:1 day ago|
Platform:
On-site
Part Time
AI Implementation & Data Analytics Lead – Fashion Buying House (India)
Mission: Drive data-driven transformation across all departments of our fashion buying house—from
sourcing and design through production, quality control, export logistics and feedback—to ensure we
deliver the right styles at the right time to UK e-tailers while reducing waste and improving
profitability.
Key Responsibilities
Business Systems Audit & Data Integration
marketing and shipping.
enable faster design iterations, streamlined approvals and integrated merchandising.
AI Opportunity Identification
models for best-selling style and size forecasting.
scheduling.
high-fidelity design optionsmckinsey.com and generate variations to enrich product
ideationmckinsey.com.
detection, pattern matching and quality inspection.
mitigation.
Design Integration & Cross-Department Collaboration
generative-AI platforms that aggregate unstructured data from social media and market
feeds to inspire new collectionsmckinsey.com.
content based on consumer profilesmckinsey.com.
design are translated into efficient sampling, fabric procurement and manufacturing
processes.
Implementation Roadmap & Proof of Concept
analyses and ROI projections.
or computer-vision quality checks.
standards.
and logistics workflows.
Advanced Analytics & Reporting
concept-to-prototype lead time), sourcing, production and logistics—such as lead times,
inventory turnover, margin performance and return rates.
data from e-commerce platforms, market reports, social-media sentiment and internal
design feedback.
merchandising strategies.
Collaboration & Training
merchandising, marketing and logistics.
data-driven decision making to accelerate concept development and improve accuracy.
and business requirements into practical AI solutions.
Qualifications
Fashion Technology or related fields.
supply chain.
Power BI, Tableau).
logistics.
design needs into AI solutions.
Job Type: Permanent
Pay: ₹50,000.00 - ₹60,000.00 per month
Benefits:
Work Location: In person
arsons placement
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