1 / 8

Why Demand Forecasting Is Critical in a Post-Pandemic World

**Short Description:**<br>In a post-pandemic world marked by supply chain shocks and unpredictable demand, businesses can no longer rely on guesswork. Demand forecasting has become a strategic necessityu2014helping companies anticipate market shifts, avoid stockouts or overstocking, and make smarter decisions faster.<br>Read more:https://zenithive.com/why-demand-forecasting-critical-post-pandemic/

Zenithive
Download Presentation

Why Demand Forecasting Is Critical in a Post-Pandemic World

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Why Demand Forecasting Is Critical in a Post-Pandemic World THRIVING AMID UNCERTAINTY WITH ZENITHIVE’S INTELLIGENT FORECASTING WWW.ZENITHIVE.COM

  2. Pre-2020 = historical data-driven forecasting When Traditional Forecasting Failed COVID caused unpredictable demand shifts Essentials were out-of-stock; luxury items overstocked 83% of executives say ESG boosts shareholder value Agility, not history, defined survival Bad backend = lost users, higher costs, rebuild risks Most early-stage startups suffer from poor tech choices

  3. Disruptions from geopolitical tension, climate events Rapid shifts in consumer preferences Why Forecasting Must Evolve Supply chains face 15 years of increasing climate risk

  4. AI Benefits: The Technology Revolution AI in supply chains will grow from $9.15B (2024) → $40.53B (2030) • 15% logistics cost reduction • 35% inventory optimization • 65% improved service levels Essentials were out-of-stock; luxury items overstocked 83% of executives say ESG boosts shareholder value Agility, not history, defined survival Bad backend = lost users, higher costs, rebuild risks Zenithive Value Add: Integrates data from social media, weather, trends, and economic signals Most early-stage startups suffer from poor tech choices

  5. Inventory availability improved to 96% Inventory costs reduced by 28% Electronics Retailer Case Study AI detected viral demand trend early → captured sales 83% of executives say ESG boosts shareholder value Most early-stage startups suffer from poor tech choices

  6. Pilot Quick wins in high-impact product/region Our Proven 4-Phase Methodology Assessment Review data quality + forecasting issues Integration Connect internal + external data Scale Roll out + optimize organization-wide

  7. Key Metrics: Forecasting is an Organizational Capability Key Insights • Blend of data science + business intuition is required • Forecasting should be a continuous intelligence system Startups need foundational speed and scalability • Speed of response to demand signals • Forecast update frequency • Inventory turnover • Forecast accuracy vs agility Tech debt kills velocity, investor trust, and roadmap execution Results:

  8. www.zenithive.com info@zenithive.com +91 91060 69395 1105, GANESH GLORY, Jagatpur Rd, off SG Highway, Ahmedabad, Gujarat 382481 THANK YOU Let’s Build Smarter, Resilient, and More Predictive Systems—Together.

More Related