Neophyte transforming Legacy Supply Chains with its Next-Generation Ambient Intelligent Ecosystems

NeoPhyte is an expert at interpolating ground-level sensor signals from a variety of ecosystem nodes, such as warehouses, distribution centres, and storefronts, in order to provide environmental intelligence to all chain stakeholders. The key to the company's success is implementing its cutting-edge research in Co-Botics, 3D Vision, AIIoT, and Sustainable AI, which is bundled with its AmIWare platform and product offerings. Legacy Supply Chains are being transformed by NeoPhyte into Next-Generation, Sustainable, Ambient Intelligent Ecosystems. In a chat with VARINDIA, Anurag Sahoo, Co-Founder & CEO, Neophyte.ai and Dr. Abhinav Anand, Co-Founder and CTO, Neophyte.ai delve deep into the current landscape of the supply chain management, its mission, GTM Strategy and key market leaders.                                                                                                                                                                                                                                                                                             
Anurag Sahoo  
Co-Founder & CEO, Neophyte.ai

Role in bridging the supply chain management gap

“Neophyte Ambient Intelligence serves as a bridge between information systems and physical systems in sectors like E-commerce, retail, and supply chains. Our focus lies in leveraging visual AI and ambient intelligence to address the reality gap that exists within these industries. Earlier, we discussed how achieving supply chain excellence involves implementing various information systems, such as Warehouse Management Systems (WMS) and similar tools. The issue arises from discrepancies between these information systems and physical reality. For instance, the WMS might indicate that shelves should display certain products with specific discount promo codes, yet when customers visit the store, the products may not be available, or the pricing may be incorrect due to underlying assumptions. This disparity between the digital representation and the actual situation is the problem we aim to address. Our products encompass stores, warehouses, and sourcing sites across different points in the value chain. To bridge this gap, we integrate with existing IoT devices or deploy our own devices on the ground. By streaming data into our intelligence platform, we can process it and offer insights to centralized business operations.”

Neophyte's mission while identifying the challenges
“Since 2015, we have been providing video analytics services to CCTV monitoring companies. Initially, our focus was on security-related applications, where we connected existing CCTV cameras to deep learning frameworks for analytics. As we expanded our services to include companies within the value chain, such as warehouses and supply chain operations, we encountered a shift in problem statements. Our platform began addressing not only security concerns but also operational challenges, aiming to enhance warehouse efficiencies and ensure compliance adherence.

This transition highlighted a significant gap within the value chain, where each transaction incurred potential losses due to missed opportunities. For example, empty shelves leading to lost sales or employee productivity lapses. Recognizing this opportunity, we responded to the growing demand, particularly catalyzed by the COVID-19 pandemic, which exerted immense pressure on supply chain operations. Consequently, we became part of the technological wave aimed at optimizing processes and meeting the evolving needs of the industry.”

Dr. Abhinav Anand  
Co-Founder and CTO, Neophyte.ai

Market strategy for AI powered supply chain management

“Our fundamental technological philosophy revolves around being a tech company primarily focused on software development. We specialize in creating cutting-edge software adaptable to various platforms, including cloud, on-premises, and embedded devices. Our core objective is to condense intelligence into the smallest embedded devices capable of functioning in diverse environments.

Initially, we are directing our efforts towards the supply chain environment, with a specific focus on the Indian market. We have already initiated product deployments and pilot programs with significant clients in India. This decision stems from the realization that many challenges, such as data inconsistency, are prevalent in regions like India, where infrastructure may not be uniform, especially in rural areas. These circumstances serve as robust testing grounds for our software products. Given our status as an Indian startup, prioritizing the Indian market aligns with our initial go-to-market strategy.

Our product lineup addresses critical gaps across various nodes of the supply chain. Our flagship product- Disha which is Digital Shelf Analysis, streamlines tasks such as inventory management and record accuracy, significantly reducing turnaround time compared to traditional methods. Additionally, our customer engagement tool offers insights into customer preferences and ensures stores remain updated accordingly.

In terms of our go-to-market (GTM) strategy, we are initially targeting key players in the Indian market before expanding our reach to encompass small to medium-sized supermarkets and warehouses. Subsequently, we plan to extend our presence to established markets such as the UK, US, and Australia, where we aim to enhance customer engagement and automate processes to streamline operations.

Our current focus revolves around targeting the Indian market and establishing a foothold in other established markets, followed by enhancing customer engagement and automating processes in subsequent phases.”

Key customers of Neophyte
“Our clientele includes major players like Reliance, spanning across different verticals such as retail, lifestyle, and groceries. By leveraging our technology, they gain ground-level visibility into store operations, ensuring compliance, monitoring shelf conditions, and enabling data-driven decision-making. Two industries have already adopted our apps, and they have been operational for approximately six months, successfully scaling up. The second vertical involves beauty and cosmetics brands like Lakme and Sugar, with plans to expand to additional sectors such as lifestyle products, including Reliance Fashion. We are currently piloting our software with other verticals like Reliance Smart, a grocery brand, to ensure retail integrity across all sectors. As we progress, we anticipate catering to additional clients who will benefit from our diverse intelligence solutions.”