Overview

Demand forecasting in B2B is fundamentally different from B2C. Factors such as long sales cycles, negotiated or contract-based pricing, and customer-specific buying patterns make it difficult to rely solely on traditional forecasting models.

On top of that, many B2B businesses still depend on historical averages, spreadsheets, and manual inputs. The lack of real-time insights either delays decision-making or leads to inaccurate forecasts. AI changes that.

By directly addressing these challenges, AI provides a more effective way to forecast demand, manage supply, and keep a close tab on inventory. To dive deeper into this, we’re hosting a webinar with our Senior Business Analyst, Dhariniya.

This session focuses on how AI-driven demand forecasting helps B2B organizations move from reactive planning to data-backed, adaptive decision-making.

Dhariniya S banner

Key Takeaways

Here’s what you’ll learn in this session:

  • 01

    Find out why traditional demand forecasting doesn’t work anymore
  • 02

    Discover key demand forecasting challenges faced by B2B teams today
  • 03

    Explore in detail how AI transforms forecasting accuracy and agility
  • 04

    Understand the best way to implement AI-driven demand forecasting for your B2B business
Dhariniya

Panelist

Dhariniya
Senior Business Analyst

Dhariniya Shanmugam is a Senior Business Analyst with 10+ years of experience in enterprise and B2B commerce platforms. She has worked on large, multi-vendor projects, managing end-to-end requirements, documentation, UAT coordination, and production releases. Dhariniya has strong expertise in complex integrations, data-intensive workflows, and cross-team collaboration. She is passionate about using AI-driven demand forecasting to help B2B organizations move from manual planning to smarter, predictive decision-making.

Register for Free webinar on AI for Demand Forecasting in B2B Commerce

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Register for Free webinar on AI for Demand Forecasting in B2B Commerce

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