AI-Native Retail Operating Systems: From Buzzword to Store Backbone
AI-native operating systems for retail are integrated software platforms that embed artificial intelligence into everyday store workflows, from buying and inventory to payments and supplier agreements, so retailers can replace manual, spreadsheet-driven tasks with automated, data-led decisions across a single, connected retail management platform. Instead of stitching together separate tools for point-of-sale, ordering, promotions and deal tracking, retailers are beginning to adopt AI retail software built from the ground up for a specific type of store or workflow. These systems sit at the heart of operations, learning from sales data, purchase histories and agreements to recommend orders, flag risks and surface margin opportunities. The result is less time spent on repetitive administration and more focus on merchandising, customer experience and strategic planning, while still maintaining control over compliance-heavy and margin-sensitive categories.
Scotch: An AI Retail Software Stack Built for Liquor Stores
Scotch is an AI-native operating system built specifically for liquor retailers, combining point-of-sale hardware, custom software, payment processing and back-office tools in one system. The company has raised USD 20 million (approx. RM92,000,000) in a Series A round to scale what it calls an “all-in-one” business-in-a-box for shops that often juggle 2,000 to 12,000 products and strict alcohol regulations. According to Crunchbase News, Scotch has reported greater than 500% year-over-year growth and more than USD 1 billion (approx. RM4,600,000,000) in processed payment volume. Its AI buying software focuses on the “toily” parts of store management: forecasting orders, improving retail inventory automation and giving owners a more accurate picture of stock so they can free up working capital. By tying buying, inventory and payments together, Scotch promises measurable margin gains in a market still dominated by legacy systems.
Handshake: AI for Retail Deal-Making and Supplier Agreements
While Scotch targets store floors and back rooms, Handshake goes after the commercial engine of retail: buyer–supplier agreements. The London-based startup has secured USD 3.2 million (approx. RM14,720,000) in venture backing to build AI retail software that lets buyers make, track and execute complex deals in one place. Its retail management platform pulls scattered email threads, spreadsheets and PDFs into a single system where users can model new deal structures, monitor performance and ensure terms are followed. Co-founder Alex Lindsay describes retail dealmaking as highly manual yet extremely nuanced, with constant demand for new agreement types. Handshake’s goal is to create an agentic AI operating system for dealmaking that understands this complexity while giving teams clear oversight of thousands of agreements. For suppliers, better visibility and fewer missed commitments from overworked buyers should mean faster execution and more predictable trading relationships.
Attacking Fragmentation with Vertical-Specific Retail Management Platforms
Both Scotch and Handshake are responding to the same structural problem: fragmented, ageing retail tech that was never designed for today’s data volumes or regulatory complexity. Market research cited by Scotch’s founders shows liquor stores dealing with more than 200 regional legacy POS systems, many built long before AI or cloud infrastructure. On the commercial side, buying teams still rely on email, ad hoc spreadsheets and manual reconciliations to manage promotions and terms. Vertical AI retail software offers a way out by tailoring workflows, logic and compliance rules to a specific niche such as alcohol retail or buying teams, rather than forcing generic tools to fit. By embedding AI into these focused platforms, startups can automate store management tasks, standardise processes across locations and give leadership clearer, near-real-time insight into sales, costs and supplier performance.
Why Funding Is Surging Into Vertical AI Retail Software
The funding going to Scotch and Handshake signals growing investor conviction that vertical, AI-first platforms will define the next wave of retail technology. Scotch’s USD 20 million (approx. RM92,000,000) Series A, led by VMG Partners with participation from First Round Capital, Lerer Hippeau and Toba Capital, follows its earlier USD 10 million (approx. RM46,000,000) seed round and reflects confidence in a Toast-style model focused on liquor stores. Handshake’s USD 3.2 million (approx. RM14,720,000) raise, backed by Triple Point Ventures, Bain’s Future Back Ventures and Octopus Ventures, marks its first institutional round after proving its value to early customers like Gopuff. Investors see AI buying software and retail inventory automation as direct levers on gross margin, working capital and labour efficiency. As these AI-native operating systems mature, they are likely to pull fragmented tools into unified stacks that quietly run the modern store.
