Nūl enables fashion companies to forecast demand more accurately, plan production effectively and optimise inventory allocation across channels
Aimed at helping fashion brands and apparel companies reduce overproduction and improve inventory management through advanced artificial intelligence (AI) technology, Wavemaker Impact, a climate tech venture builder, has launched Nūl Global Technologies (Nūl), an AI-driven climate tech startup, with a USD 5,00,000 pre-seed investment.
Co-founded by Malini Kannan and Raghav M S in Singapore, Nūl enables fashion companies to forecast demand more accurately, plan production effectively and optimise inventory allocation across channels. By integrating agentic AI with the brand’s existing operations, Nūl transforms data into actionable insights that help minimise waste while maximising the brand’s objectives, as per the official statement.
“Traditionally, overproduction has been seen as an inevitable byproduct of legacy systems and long supply chains. However, we believe that next-generation technologies like ours can help fashion brands bridge these gaps significantly,” stated Malini Kannan, Co-founder and Chief Executive Officer (CEO) of Nūl.
The official statement added that the fashion industry, which accounts for 6-10 per cent of global carbon emissions, is facing significant challenges. The processes involved in creating a single item of apparel can emit up to six kilogram of carbon dioxide (CO2), and approximately 30 per cent of fashion products go unsold, leading to waste through markdowns, recycling, or disposal. This loss can account for 7 to 10 per cent of a brand’s revenue.
Nūl is the first to integrate advanced decision science with agentic AI specifically designed for the fashion industry. Rather than simply providing insights, our platform enables brands to seamlessly apply them to their daily operations,” said Raghav M S, Co-founder and CTO of Nūl.
The pre-seed funding will enable Nūl to enhance its pilot projects in Southeast Asia, expand its partnerships, and commercialise its solution on a global scale. The statement added that Nūl’s platform allows brands to efficiently redistribute inventory, moving stock to locations where it is more likely to sell quickly, resulting in a 10 per cent revenue uplift in these trials.
“Nul’s data-driven approach demonstrates strong potential to help medium-sized brands improve demand planning and inventory allocation, boosting sell-through rates by up to 50 per cent while potentially avoiding 7,500 tCO2e of overproduction-related emissions each year per brand,” said Marie Cheong, Founding Partner at Wavemaker Impact.
Nūl is currently piloting its solution with several apparel brands in Southeast Asia. One key challenge addressed during these trials is the end-of-season inventory rebalancing across stores and channels, as per the statement.
