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Livspace Integrates Predictive AI to Optimise Interiors Supply Chain; 1,000+ Roles Impacted in Restructuring | Ply Reporter

March 5th 2020

Automation across operations and marketing supports faster execution and improved delivery timelines in the organised interiors segment.

Livspace has expanded the integration of artificial intelligence into its core operations, introducing predictive systems to enhance supply chain management and project tracking.

The company stated that advanced AI agents are now embedded across sales, operations, design and marketing, forming part of its transition toward an “AI-native agentic organization.”

For the wood panel, plywood and interior materials ecosystem, the operational shift is particularly relevant. Predictive AI tools are reducing manual oversight of delivery timelines while improving coordination across vendors and execution teams.

In design, AI-enabled mood boarding and 3D visualisation tools have reduced turnaround time by 60 percent, accelerating the approval-to-execution cycle. Marketing functions have also adopted a “creative factory” model, automating advertisement creation and increasing campaign output tenfold.

Livspace said the transformation represents a strategic reallocation of resources as it invests heavily in AI and technology to deliver greater precision and customer outcomes.

The transition has reportedly affected around 1,000 employees, representing nearly 12 percent of the company’s workforce, as automation reduces dependency on manual coordination across functions. For suppliers and material partners, the shift signals a leaner, data-driven operational model with tighter execution cycles.

During this phase of evolution, co-founder Saurabh Jain is moving into a new entrepreneurial chapter after 11 years with the company. Livspace described him as instrumental in scaling the organisation and shaping its operational framework.

As India’s organised interiors market continues to mature, the integration of AI into supply chains and project management signals a deeper technology-driven shift across the industry.

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