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Demand forecasting jobs

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Noida
5 - 10 yrs
₹0.5L - ₹13L / yr
Category Management
Sourcing
refurbished mobile
supplier negotiations
Negotiation
+13 more

About the Company

We are a fast-growing consumer technology and recommerce organization focused on making high-quality refurbished smartphones accessible to customers across India. Operating at scale across online and offline channels, the company partners with multiple brands and suppliers to build a reliable, data-driven sourcing and pricing ecosystem. Innovation, operational excellence, and strong partner relationships are at the core of our business.


Role Overview

The Category Manager – Sourcing will be responsible for managing end-to-end sourcing of refurbished mobile devices. This role requires strong experience in supplier negotiations, pricing, inventory planning, and margin optimization. The ideal candidate should currently be working as a Sourcing Manager or above in a leading refurbished mobile or recommerce organization.


Key Responsibilities


Sourcing & Price Management

  • Lead negotiations with sourcing partners and suppliers to achieve competitive buy prices and margins
  • Drive month-on-month (MoM) category and brand-level performance metrics
  • Analyze margin performance and ensure alignment with overall business targets


Inventory Planning & Forecasting

  • Own SKU-level and city/store-level demand forecasting
  • Ensure optimal inventory availability while controlling aging and excess stock
  • Coordinate with sourcing partners to ensure timely availability of key models and launches


Partner & Performance Management

  • Set and track monthly sourcing and sales targets
  • Design incentive and payout structures to improve supplier performance and supply consistency
  • Build long-term, scalable relationships with sourcing partners


Catalogue, Data & MIS

  • Ensure accurate catalogue pricing, grading, and product information across platforms
  • Track key metrics such as stock aging, sell-through, fill rate, and supplier performance
  • Generate MIS reports and provide actionable insights to leadership


Eligibility & Experience


Education

  • Any Graduate


Experience

  • 5+ years of experience in sourcing, buying, or category management within refurbished mobiles, recommerce, or consumer electronics
  • Mandatory: Currently working as a Sourcing Manager or above in a large-scale refurbished mobile organization (Cashify or equivalent ecosystem experience preferred)


Skills & Competencies

  • Strong negotiation and supplier management skills
  • High analytical ability with strong command of Excel and MIS reporting
  • Deep understanding of refurbished mobile grading, pricing, and demand trends
  • Ability to manage multiple suppliers, SKUs, and targets simultaneously
  • Strong communication and stakeholder management skills


Why Join Us

  • Opportunity to build and scale a high-impact sourcing category
  • Work in a fast-paced, data-driven environment
  • High ownership role with direct business impact
Read more
Textile Industry

Textile Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Bengaluru (Bangalore)
5 - 20 yrs
₹20L - ₹35L / yr
Sales
Business Development
Business-to-business sales
Business-to-business
Business relationship management
+10 more

Required Skills: Techno-Commercial Sales Expertise, B2B / Institutional Sales & Business Development, Technical Knowledge of Textiles, Negotiation & Relationship Management, Market Intelligence & Strategic Selling

 

Criteria:

It's a sales profile so need a strong sales person from textile sector who can do the B2B / OEM / Institutional sales 

  • Experience: 5 to 20 years in Technical Textiles or allied industrial textile sectors (Agri, Geo, Packaging, Automotive)
  • Proven experience in B2B / OEM / Institutional Sales within industrial or technical textiles
  • Candidate should have experience in selling Fabric and Technical Textiles.
  • Strong techno-commercial acumen – ability to link product performance, costing, and customer application
  • Hands-on experience in pricing, proposals, negotiations, and margin management
  • Exposure to product development coordination with R&D, Production, and Quality teams
  • Excellent communication, negotiation, and relationship management skills
  • Preferred experience in international business development (mandatory for export roles)
  • Strong analytical, reporting, and forecasting abilities
  • Willingness to travel within India and overseas as per business requirements.


Open Position:

Techno-Commercial Sales (Manager / Sr. Manager / AGM / GM)

Description

What You’ll Do:

• Lead B2B and institutional sales in your assigned technical textile vertical.

• Identify and onboard new customers, distributors, and OEMs in both domestic and export markets.

• Offer techno-commercial solutions tailored to customer applications and performance requirements.

• Work closely with R&D, Production, and Quality teams for trials, samples, and custom developments.

• Manage pricing, proposals, and negotiations, backed by a strong understanding of product costing, margins, and profitability.

• Track and report market trends, competitor movements, and emerging business opportunities.

• Deliver on sales and margin targets, while building long-term customer relationships.


Who You Are:

• Qualification: B.Tech / Diploma (Textiles, Polymers, Mechanical) or MBA (Marketing).

• Experience: 5–20 years in Technical Textiles or allied industrial textile sectors – Agri, Geo, Packaging, or Automotive.

• Strong techno-commercial mindset, with the ability to connect product performance and costing to customer needs.

• Proven background in B2B / OEM / institutional sales.

• Excellent communication, negotiation, and relationship management skills.

• For export roles, international business development experience is essential.


Preferred Background:

We’re looking for people who have worked with established technical textile or industrial fabric manufacturers, particularly in areas such as:

• Agri Textiles: Shade nets, crop covers, pond liners, etc.

• Geo Textiles: Woven / nonwoven fabrics, reinforcement, filtration, erosion control.

• Packaging Textiles: PP/HDPE woven, FIBC, industrial sacks.

• Automotive or Industrial Textiles: Roof liners, filtration media, composites, or performance fabrics.

Read more
AdTech Industry

AdTech Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Mumbai
3 - 6 yrs
₹23L - ₹30L / yr
Demand management
DSP
Client Management
Demand generation
Demand forecasting
+3 more

ROLES AND RESPONSIBILITIES:

We are looking for a seasoned industry professional who has a high-performance background in ad tech business operations, partner account management & revenue optimization, team management & overall strategy driving the business. As a DSP agnostic platform, our focus is to grow the ad-exchange business while helping direct advertisers hit their KPIs.The candidate should have good analytical skills, can interpret and work with big data and should be technically inclined (coding not required) As a strategic advisor to your clients, you will have the ability to be proactive, work independently, and possess excellent customer-facing communication skills. You will act as the primary point of contact for your clients and will be responsible for ensuring their success.


JOB DESCRIPTION:

  • Own all strategic and operational aspects of client relationships, including overseeing integration and onboarding of new partners
  • Use strong analysis, interpretation and independent judgment to strategize and identify revenue opportunities for PnL growth
  • Liaise with internal teams like product and engineering to execute strategies and deliver custom client requirements
  • Ensure clients receive the highest level of customer service and support
  • Conduct research to gather intelligence on competitor products and constantly update yourself on the ad tech landscape


IDEAL CANDIDATE:

  • Bachelor's degree in Marketing, Advertising, or a related field.
  • Minimum 2-3 years of relevant experience in areas mentioned.
  • Proven account management experience working with top DSPs like Google DV 360/TTD/Criteo to grow their spends through company Exchange
  • Strong understanding of programmatic advertising concepts, including audience targeting, bidding strategies, and ad formats
  • Excellent communication and interpersonal skills, with the ability to build and maintain strong client relationships.
  • Proactive mindset, capable of identifying opportunities for improvement and taking initiative to implement them.
  • Strong organizational and time management abilities, with the capability to handle multiple projects and deadlines simultaneously.
  • Ability to work independently and as part of a team, with a high level of self-motivation and accountability.
  • Familiarity with other digital advertising platforms and technologies, such as social media advertising and ad exchanges, is a plus.


PERKS, BENEFITS AND WORK CULTURE:

  • Flexible work hours and leaves
  • Salary advance
  • Maternity/Paternity leave benefits & adoption assistance
  • Butler & Concierge services
  • Team Off-sites & Celebrations


BEYOND WORK:

  • Insurance benefits for you and family
  • Interest-free loans
  • Gift vouchers for special moments
  • Fully-equipped Gym
  • Education Sponsorship Programs
Read more
Cococart India

at Cococart India

2 recruiters
Subin Sunny
Posted by Subin Sunny
Navi Mumbai
4 - 9 yrs
₹4L - ₹7L / yr
Inventory Management
Inventory control
Demand forecasting
Demand planning
Demand management
  • Implement and constantly improve Processes and System to reduce inventory, minimize cost and maximize inventory utilization.
  • Responsible for entire inventory movement cycle immediately after the PO is raised at HO.
  • Tracking ETD & ETA of all Import Consignments as well as Internal Inventory movement within India Operations.
  • Coordinate with Buying Team and Location Teams on Periodic Sales & Inventory Requirement Forecast – at least for a period of 3 months / 1 Qrtr in advance.
  • analyze Inventory requirement at location as per Promotion Calendar in coordination with respective Buyer and Track / Monitor Efficacy of each Promotion.
  • Interacts with each Location Team and ensure steady flow of valid and valuable feedback on sales and inventory.
  • Execute & Maintain Category & Merchandising Planogram as prescribed by respective Buyer.
  • Responsible for Setting up and Implementation of Auto Replenishment Process at all locations in coordination with Location team and IS team.
  • Formulate, Generate and Share Inventory related MIS reports with HO Functions on periodic basis. For example – Self-life Expiry Report, Stock Availability Report, Flagging all potential alert situation
Read more
Antuit

at Antuit

1 recruiter
Purnendu Shakunt
Posted by Purnendu Shakunt
Bengaluru (Bangalore)
8 - 12 yrs
₹25L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Data Scientist
skill iconPython
+9 more

About antuit.ai

 

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

 

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

 

The Role:

 

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

 

Responsibilities:

 

Responsibilities includes, but are not limited to the following:

 

  • Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
  • Design, build reliable and scalable automated processes for large scale machine learning.
  • Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
  • Collaborate with Business, Technology and Product teams to stand-up MLOps process.
  • Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
  • Deep dive into complex algorithmic and product issues in production
  • Own metrics and reporting for delivery team. 
  • Set a clear vision for the team members and working cohesively to attain it.
  • Mentor and coach team members


Qualifications and Skills:

 

Requirements

  • Engineering degree in any stream
  • Has at least 7 years of prior experience in building ML driven products/solutions
  • Excellent programming skills in any one of the language C++ or Python or Java.
  • Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
  • Developed and productized large-scale models/algorithms in prior experience
  • Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
  • Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
  • Good verbal, written and presentation skills.
  • Ability to learn new skills and technologies.
  • 3+ years working with retail or CPG preferred.
  • Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

 

Information Security Responsibilities

 

  • Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
  • Take part in Information Security training and act accordingly while handling information.
  • Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

 

Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Read more
WyngCommerce

at WyngCommerce

3 recruiters
Ankit Jain
Posted by Ankit Jain
Bengaluru (Bangalore)
4 - 7 yrs
₹18L - ₹25L / yr
skill iconData Science
Demand forecasting
Optimization
WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences
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