Sr. Consultant - RetailTech
Location: Ahmedabad, India
Department: AI Lab
Experience: 15+ Years
- Act as the Retail Domain Expert for AI-based products and solutions developed at Krish
- Identify and define high-impact AI use cases in offline and online retail
- Translate retail business processes into AI models, workflows, and system requirements.
- Collaborate with AI engineers, ML teams, and product managers to build AI-powered retail solutions.
- Run internal/external UAT. Validate and evaluate AI model outputs to ensure business relevance and accuracy.
- Develop retail data frameworks, taxonomies, and datasets for training AI systems.
- Guide the development of AI solutions across areas of supply chain management, client experience, and pricing.
- Participate in client discovery workshops to identify AI opportunities for retail businesses.
- Be an active member in pre-sales and consulting engagements by advising clients on AI adoption in retail.
- Stay updated on emerging trends in AI, Generative AI, and retail technology.
- 15+ years of experience in Retail, eCommerce/Omni-channel operations
- Deep domain knowledge/expertise in areas like:
- Merchandising
- Category management
- Pricing & promotions
- Supply chain & inventory management
- Retail operations
- Digital commerce
- Experience working with various retail data, analytics, or retail technology systems
- Strong understanding of retail KPIs, such as GMV, Sell-through rate, Inventory turns, Conversion rate, Customer lifetime value and Demand forecasting accuracy
- Ability to collaborate with technical teams including AI engineers and data scientists
- Understanding of Generative AI, LLMs, and AI-driven retail automation.
- Strong problem-solving, analytical thinking, and communication skills.
- Exposure to AI/ML, predictive analytics, or data science projects in retail.
- Experience with AI-powered retail use cases like recommendation engines or forecasting models.
- Familiarity with eCommerce platforms such as Magento, Shopify, Adobe Commerce, or similar.
- Knowledge of data tools like SQL, Power BI, Tableau, or Python-based analytics.
- Experience working with AI product teams or SaaS platforms.
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