What AI-Native Retail Operating Systems Are and Why They Matter
AI-native retail operating systems are software platforms built from the ground up around artificial intelligence to automate, coordinate, and optimize the daily work of buyers, store owners, and their suppliers across procurement, inventory, and execution workflows. Instead of acting as generic tools, they focus on the specific tasks, rules, and data structures of a given retail segment, such as liquor shops or grocery buyers, and embed AI into those narrow processes so that decisions, tracking, and compliance happen with far less manual effort. This model is different from horizontal AI platforms because it ties automation directly to sector-specific pain points like complex buying management, fragmented point-of-sale setups, and opaque commercial agreements. As a result, these systems appeal to retailers who need practical gains in margin, accuracy, and time savings rather than abstract experimentation with AI features.
Handshake: AI-Powered Buying Management Software for Retail Deals
Handshake is an AI retail software startup focused on one of the messiest corners of store operations: commercial agreement management for buyers. Its platform gives retail teams a single system to make, track, and execute deals that would otherwise live across “hundreds of email chains,” replacing spreadsheets and manual oversight with structured workflows. The company’s founders, Alex Lindsay and Peter Welch, created Handshake after consulting for retail buyers and seeing how nuanced and flexible dealmaking had become, with constant new structures requested by suppliers. According to The Grocer, Handshake has secured USD 3.2 million (approx. RM14.7 million) in venture funding and already counts fast-delivery operator Gopuff among its customers. By building what it calls an agentic AI operating system for dealmaking, Handshake aims to give retailers clearer visibility into thousands of supplier agreements while reducing the risk of missed commitments and errors.
Scotch: A Retail Operating System Built for Liquor Stores
Scotch positions itself as a full retail operating system designed specifically for liquor store owners, combining point-of-sale hardware, custom software, payment processing, and a back-office suite in a single stack. The startup has raised USD 20 million (approx. RM92.0 million) in a Series A round led by VMG Partners, backing its push to modernize an industry dominated by more than 200 regional legacy POS systems. Its AI-native architecture targets the “toily” parts of store management, such as manual inventory and vendor handling across 2,000 to 12,000 SKUs per store, which often ties up working capital and leads to misorders. Scotch says it uses embedded AI to remove administrative friction and give owners a more accurate picture of stock, cutting at least a full day of work per week. The platform’s business model blends per-device SaaS fees, interchange revenue on processed payments, and hardware sales.
From Legacy Tech to Vertical AI Retail Software
Both Handshake and Scotch highlight a broader shift toward vertical AI retail software rather than one-size-fits-all tools. Legacy systems in retail buying and store operations often rely on email threads, spreadsheets, and fragmented POS setups that cannot cope with current complexity in pricing, promotions, and regulation. Handshake’s buying management software tackles deal nuance and oversight, while Scotch’s liquor-focused retail operating system handles compliance-heavy workflows and large product assortments in a single environment. This vertical approach matters because it embeds AI directly into domain-specific tasks, from forecasting and replenishment to agreement tracking and execution. Instead of asking teams to adapt to generic AI platforms, these startups encode industry logic into workflows and data models, making automation feel like an extension of how buyers and store owners already work. The result is less manual toil, fewer errors, and more consistent execution across procurement and in-store operations.
Why Venture Capital Is Backing Vertical SaaS in Underserved Retail
The funding rounds for Handshake and Scotch show how vertical SaaS funding is moving toward AI-native tools that serve neglected retail segments. Handshake’s USD 3.2 million (approx. RM14.7 million) raise, led by Triple Point Ventures with support from Bain’s Future Back Ventures and Octopus Ventures, signals confidence in modernizing buying management software for complex supplier deals. Scotch’s USD 20 million (approx. RM92.0 million) Series A, coming after more than 500% year-over-year growth and over USD 1 billion (approx. RM4.6 billion) in processed payment volume, reinforces the view that liquor retail is ready for an AI-powered upgrade. These markets share traits investors like: entrenched, outdated technology; clear regulatory or operational burdens; and customers who gain immediate, measurable benefits from better procurement, tracking, and execution. As more retail tech startups prove that AI-native operating systems can expand margins and save time, capital is likely to follow into other verticals with similar inefficiencies.
