Wavemaker Impact launches Nūl with a $500,000 investment to tackle fashion overproduction

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Wavemaker Impact, the Singapore-based climate tech venture builder, has launched Nūl Global Technologies Pte. Ltd. (Nūl), an artificial intelligence (AI)-driven climate tech startup, with a $500,000 pre-Seed investment.

Wavemaker Impact said in a statement on Wednesday that the pre-Seed funding will enable Nūl to enhance its pilot projects in South East Asia, expand its partnerships, and commercialize its solution on a global scale.

Co-founded by Malini Kannan and Raghav M. S. in Singapore, Nūl aims to help fashion brands and apparel companies reduce overproduction and improve inventory management through advanced AI technology.

The firm enables fashion companies to forecast demand more accurately, plan production effectively, and optimize inventory allocation across channels.

By integrating agentic AI with the brand’s existing operations, it transforms data into actionable insights that help minimize waste while maximizing the brand’s objectives.

It is noted that the fashion industry, which accounts for 6 percent to 10 percent of global carbon emissions, is facing significant challenges.

The processes involved in creating a single item of apparel can emit up to 6 kg of carbon dioxide (CO2), and approximately 30 percent of fashion products go unsold, leading to waste through markdowns, recycling, or disposal.

This loss can account for 7 percent to 10 percent of a brand’s revenue.

At the same time, brands often struggle with stockouts of bestsellers, missing out on potential revenue.

Nūl’s technology seeks to balance these two challenges, reducing waste while maximizing profitability.

“Overproduction is detrimental to both business and the environment,” said Malini Kannan, Co-founder and Chief Executive Officer of Nūl.

“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,” he added.

Despite the size of the global fashion market — worth $2 trillion — few tailored solutions exist for inventory management that offer the depth of intelligence required to manage stock across size, style, color, and location.

Nūl addresses this gap by co-developing solutions with medium-sized fashion brands and keeping operational challenges at the forefront of its approach.

“Nūl is the first to integrate advanced decision science with agentic AI specifically designed for the fashion industry,” said Raghav M. S., Co-founder and Chief Technology Officer of Nūl.

“Rather than simply providing insights, our platform enables brands to seamlessly apply them to their daily operations,

“Nūl works alongside merchandising, planning, and allocation teams, continuously learning and supporting their decisions,” he added.

Malini and Raghav both have extensive experience in building technology companies serving global markets.

Raghav, a serial tech entrepreneur, has led two successful exits and served as Chief Technology Officer of a fashion technology platform supporting agile manufacturing in Southeast Asia.

Malini has held leadership roles in global fintech companies, spanning startups to venture capital-backed scale-ups.

It is noted that 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.

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 percent revenue uplift in these trials.

“The average apparel production lead time is 2.5 times longer than the lifespan of a trend—leading to overproduction, significant revenue loss, and environmental impact,

“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 percent while potentially avoiding 7,500 tons of carbon dioxide equivalent (CO2e) of overproduction-related emissions each year per brand,” said Marie Cheong, Founding Partner at Wavemaker Impact.

“We’re confident that Malini’s and Raghu’s combined cross-sector expertise and technical experience will unlock this opportunity,” she added.

 

#ClimateTech #AI #FashionInnovation #Sustainability #TechForGood

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