AI Retail Software: From Point Solutions To Workflow Engines
AI retail software refers to specialised, data-driven systems that automate and optimise specific retail workflows, from buying agreements and compliance checks to inventory control and payments, replacing manual processes built on spreadsheets, PDFs and email threads with connected, explainable tools that can scale across chains and independent stores alike. Retailers have long relied on fragmented platforms that leave gaps between legal review, commercial deals and store operations. The latest generation of AI-native products is less about generic chatbots and more about workflow engines tuned to concrete pain points such as contract negotiations, regulatory approvals and highly regulated product categories. Investor appetite is growing for both vertical retail management platforms that specialise in one sector and horizontal tools that automate core tasks across industries, signalling a shift away from ageing legacy systems toward targeted, AI-driven automation that aims to cut labour-intensive "toil" from everyday retail work.
Handshake: Retail Buying Software For Complex Commercial Deals
Handshake is a retail buying software startup that raised USD 3.2 million (approx. RM14.7 million) in venture backing to streamline how buyers make, track and execute commercial agreements with suppliers. Instead of managing complex deals over “hundreds of email chains,” the London-based platform pulls negotiations, terms and approvals into a single AI-powered environment designed for retail nuance and constant experimentation with new deal structures. Co-founders Alex Lindsay and Peter Welch, who previously consulted retailers, saw how manual and opaque buying processes slowed teams and reduced oversight. According to The Grocer, the fundraise was led by Triple Point Ventures with support from Bain’s Future Back Ventures and Octopus Ventures. Handshake is now focused on building an “agentic AI operating system for dealmaking,” giving retailers a clearer view of thousands of supplier agreements while also making it easier for brands to understand and honour the deals they sign.
Bayshore: Turning Regulations Into AI Agents For Compliance
Bayshore has exited stealth with EUR 6.9 million (approx. RM35.1 million) in Seed funding to automate legal and compliance workflows with AI across industries, including retail. The Munich-based company converts regulations, internal policies and expert know-how into governed AI agents that act as a legal and compliance “front door” for business requests. Today, approvals for tasks like onboarding partners or changing key processes often run on PDF forms, Excel files and scattered email threads, creating friction and uncertainty. Bayshore’s platform turns those rules into machine-readable code, creating deterministic guardrails and a full audit trail so decisions can be audited and reused across jurisdictions and programmes. The team argues that traditional large language models are too probabilistic for high-stakes legal work, so they prioritise explainable, auditable outcomes. For retailers juggling retail compliance automation, this approach promises faster approvals without losing the traceability required to prevent legal and regulatory liability.
Scotch: AI-Native Operating System For Liquor Retailers
Scotch, an AI-native operating system built for liquor store owners, secured USD 20 million (approx. RM92.0 million) in a Series A round to replace a cluttered landscape of more than 200 regional legacy point-of-sale systems. The Denver-based retail management platform bundles POS hardware, custom software, payment processing and a back-office suite tuned to alcohol’s complex, state-by-state regulations. According to Crunchbase News, Scotch has grown payment volume to more than USD 1 billion (approx. RM4.6 billion) and reported over 500% year-over-year growth. Its customers range from single-register shops to multi-lane superstores. The platform uses AI to automate “toily” back-office tasks such as inventory and vendor management across 2,000 to 12,000 products per store, giving owners a clearer picture of stock and working capital. Inspired by restaurant tech models like Toast, Scotch aims to be a “business in a box” for liquor retailers who need compliant, modern infrastructure.
Vertical vs Horizontal AI: A New Retail Stack Emerges
Taken together, Handshake, Bayshore and Scotch show how investors are backing both vertical and horizontal AI retail software to replace legacy tech. Handshake focuses narrowly on retail buying workflows, Bayshore tackles legal and compliance automation across sectors, and Scotch owns the entire operating stack for liquor stores. Each targets a different layer of fragmented workflows that generic retail management platforms have failed to unify: commercial dealmaking, regulatory approvals and day-to-day store operations. Their use of agentic AI, deterministic guardrails and domain-specific data suggests the next retail stack will be built from composable, specialised systems rather than monolithic suites. For retailers, the challenge will be stitching these tools together without recreating silos. For investors, the surge of funding into such focused products signals that clear, measurable operational gains matter more than broad promises about artificial intelligence.
