Shivang Ganjoo
AVP, Data & AI
Jay Satija
Senior Data Scientist
Nikita Raj
Supply Chain Consultant
Did You Know?
- Out-of-stock and overstock issues cost global retailers over $1.7 trillion annually
- 30%+ of promotions fail to deliver ROI due to poor forecasting
- Almost 40% of inventory is stuck in excess or obsolete stock
In today's dynamic retail landscape, reactive planning no longer works. Retailers need predictive analytics, causal forecasting, and real-time insights to stay competitive.
Why Traditional Planning Fails?
Despite digital investments, most retailers continue to rely on outdated spreadsheets and siloed systems, resulting in inaccurate forecasts, lost sales, and increased logistics costs.
What Makes Demand Planning So Challenging?
- Siloed Data Systems: CRM, POS, ERP, and e-commerce data are disconnected. A big data analytics foundation is needed to unify and make sense of it all.
- Seasonal & External Disruptions: Traditional tools miss the non-linear impact of local events, flash sales, and weather. Retailers need demand sensing, scenario planning, and probabilistic forecasting to capture short-term changes.
- Data Overload: From browsing behaviour to loyalty apps, legacy systems can't keep up. Streaming data processing and real-time analytics ensure planners stay ahead.
- Unstructured Data Ignored: Reviews, social sentiment, and buyer personas hold vital insights. Leveraging machine learning and natural language processing helps turn noise into demand signals.
Enter: CT Plan Apps – The Future of Retail Demand Planning
Developed by Celebal Technologies CT Plan Apps, this advanced, AI-powered demand planning solution combines the capabilities of Databricks, Sigma Computing, and optimisation algorithms to enable intelligent, end-to-end planning.
What CT Plan Apps Delivers?
- Connected Intelligence: Breaks down data silos by integrating sales, POS, promotions, supply chain metrics, and external signals into a unified, planning-ready platform.
- Advanced Forecasting Engines: Leverages a library of 20+ state-of-the-art forecasting models, including machine learning and causal forecasting techniques, to enhance precision and adaptability across product categories and regions—with support for causal adjustments to reflect real-world drivers.
- Agile Planning Workflows: Supports dynamic planning through spreadsheet automation, real-time dashboards, and cross-functional collaboration — enabling faster, smarter decisions.
- Scenario & Risk Modelling: Empowers planners with simulations and what-if analysis to anticipate disruptions, plan promotions, and optimize inventory allocation
- Consumer-Centric Insights: Analyzes structured and unstructured data — from transaction logs to reviews and social sentiment — to uncover hidden demand drivers and evolving customer preferences
The Impact
- Fewer stockouts → Happier customers + More revenue
- Smarter decisions backed by probabilistic forecasting
- Millions saved via markdown reduction and improved inventory turns
Why It Matters?
Retailers need integrated business planning, powered by real-time, cognitive, and predictive tools — not outdated models.CT Plan Appsturns complexity into clarity!
