AI retail software: what is driving this new funding wave?
AI retail software is a new generation of specialized platforms that apply artificial intelligence to core retail workflows such as buying, inventory, point-of-sale and compliance, replacing fragmented legacy tools with integrated systems that can learn from data and automate decisions at scale. The latest funding wave highlights how investors are backing AI-native startups that build deeply into retail processes instead of offering generic, horizontal enterprise AI platforms. These companies are not only adding an AI layer on top of old software; they are rebuilding operating systems for specific verticals like grocery buying or liquor store management. By targeting the most painful manual work—contract tracking, replenishment, regulatory paperwork—they promise clear productivity gains and better margins. That combination of focused scope, measurable outcomes and defensible data advantages is what makes this segment of retail tech funding stand out.
Handshake: turning chaotic retail deals into AI-managed assets
Handshake sits at the intersection of AI retail software and retail buying software, going after a neglected but critical niche: commercial agreements between retailers and suppliers. The London-based startup has raised USD 3.2 million (approx. RM14.7 million), or £2.4 million, to help buyers “make, track and execute” deals in one platform instead of juggling hundreds of email threads. Co-founders Alex Lindsay and Peter Welch saw first-hand, while consulting, how “retail dealmaking is extremely nuanced and complex” and still heavily manual. Handshake’s system pulls agreements into a single source of truth and is already in use with customers like rapid-delivery player Gopuff. The team now plans to build an “agentic AI operating system for dealmaking,” aiming to automate tasks from offer creation to compliance checks. For investors, this looks like a textbook vertical AI bet: a narrow problem, clear ROI, and data that becomes more valuable as usage grows.
Scotch: an AI-native operating system for liquor retailers
Scotch shows how liquor store software can be rebuilt around AI when the market is fragmented and heavily regulated. The Denver-based startup secured USD 20 million (approx. RM92 million) in a Series A round to develop an AI-native operating system for liquor retailers, combining POS hardware, custom software, payments and a back-office suite tuned to state-by-state rules. According to Scotch, it has grown more than 500% year over year and now processes over USD 1 billion (approx. RM4.6 billion) in payment volume. Borrowing from restaurant tech models, Scotch sells a “business in a box” that scales from single-register shops to multi-lane superstores. AI is baked into inventory and vendor management, reducing “toily” work such as manual ordering across 2,000 to 12,000 SKUs per store. By improving visibility on stock and automating routine tasks, the company claims to help owners free up over a day of work per week and expand gross margins.
From Handshake to Wordsmith: why vertical AI beats horizontal platforms
The rise of Handshake and Scotch sits within a broader swing toward enterprise AI platforms focused on specific industries. Wordsmith, which raised €60.2 million in Series B funding for its legal AI platform, underlines how investors favour AI systems that understand one domain deeply—contract law, liquor compliance, retail negotiations—over generic copilots. In retail tech funding, that logic is powerful: both liquor and grocery buying are fragmented markets, served by dozens or hundreds of legacy tools, with limited automation and poor data integration. AI-native vertical platforms can ingest contracts, invoices, sales and inventory, then automate decisions that old systems cannot. They also benefit from strong network effects as more merchants or legal teams feed in data. For investors, that adds up to higher switching costs, recurring revenue and defensible moats that horizontal AI tools often lack.
Legacy stacks are cracking—and vertical AI is rushing in
Behind these deals is a common pattern: fragmented, compliance-heavy sectors running on outdated technology stacks are now ripe for AI disruption. Liquor retailers juggle more than 200 regional POS systems; retail buying teams still negotiate multimillion-dollar agreements over email and spreadsheets; legal teams swim in unstructured contracts. AI-native retail software and legal enterprise AI platforms can convert this chaos into structured data, then automate repetitive tasks like reconciliations, replenishment and clause analysis. Investors see that vertical, full-stack solutions—combining hardware, payments and workflow tools—as Scotch does, or deep process automation, as with Handshake and Wordsmith, are better suited to capture this value than broad horizontal platforms. As these startups prove their ability to cut manual work and expand margins, more capital is likely to follow into narrow domains where old software can no longer keep up.
