Sarah AI

Problem/Solution Report

Problem: CPG operators juggle volatile demand, multi‑tier supplier networks, complex logistics, retailer expectations, and tight working‑capital cycles. Many still rely on spreadsheets stitched to legacy ERPs and point tools, resulting in slow planning cycles, forecasting errors, excess inventory or stockouts, costly expedites, and limited real‑time visibility. Operator time is drained by repetitive, transactional tasks spanning procurement, orders, logistics coordination, and cashflow.

Solution: Sarah AI positions as an always‑on “AI operations team” for CPG that automates day‑to‑day supply chain workflows and decisions across demand forecasting, inventory optimization, logistics routing/scheduling, order operations, KPI monitoring, and cashflow management. The product emphasizes agentic automation—AI agents that “never sleep”—as well as simple chat interfaces (Slack, Teams, WhatsApp, Email) for human‑in‑the‑loop control. The goal is hands‑free, autonomous operations that “run the business,” replacing manual spreadsheet work and augmenting or supplanting legacy ERPs with a system of action.

Value proposition: Continuous automation that reduces holding costs and stockouts, optimizes routing and fulfillment, and improves cash position through intelligent planning—freeing operators to focus on growth instead of firefighting. The YC profile highlights rapid early traction (15 design partners, $1.6M pre‑seed), suggesting acute demand among CPG brands for AI‑driven ops. The approach aligns with broader industry trends toward agentic AI in SCM and a shift from reactive planning to proactive, automated execution.

Market and Competitors Report

Market context and trends: Gartner projects SCM software spend to double from 2023‑2028, and separately predicts that by 2030, half of cross‑functional SCM solutions will include intelligent agents that autonomously execute decisions—validating the “agentic ops” direction. AI in supply chain is on a steep growth curve (multiple sources), and within CPG specifically, AI in CPG is projected to expand rapidly, with supply chain optimization as the top application.

Competitor landscape:

• Legacy ERPs: SAP (Consumer Products) and Oracle NetSuite remain incumbent systems of record and planning hubs. Sarah AI’s pitch is as an AI‑native “system of action” that augments or replaces these legacy systems for day‑to‑day execution.
• Supply chain planning/orchestration: Blue Yonder, Kinaxis, and o9 Solutions provide robust CPG supply chain planning, IBP, and orchestration. RELEX Solutions, GEP, and others address adjacent planning, replenishment, procurement, and execution domains. These vendors increasingly emphasize AI/ML and control towers, but most are evolving from planning toward autonomy rather than starting agentic‑first.

Differentiation: Sarah AI frames itself as a 24/7 agentic operations layer purpose‑built for CPG, spanning forecasting through cashflow within one autonomous surface and chat‑native experience. If realized, advantages include faster time‑to‑value, lower operator burden, and “always‑on” execution compared to heavier traditional deployments. Risks include integration depth with ERP/WMS/TMS, change management, and the need to prove reliability and guardrails for autonomous actions.

Target customers: Mid‑market and enterprise CPG brands facing demand volatility, retailer service‑level pressure, and working‑capital constraints. Early design‑partner traction suggests strong resonance with brands seeking to modernize away from spreadsheet/ERP‑centric workflows without multi‑year transformation projects.

Founders and Background Report

Sarah AI was founded by Dirk Breeuwer and Christopher (Chris) Kong. According to Y Combinator, the company is building an “AI‑native operating system for consumer goods brands—an autonomous supply‑chain brain that replaces legacy ERPs and actually runs the business,” and is backed by YC (W26). YC also notes they raised $1.6M in their first month full‑time and secured 15 design partners, highlighting rapid early traction and founder‑market fit in CPG operations and supply chain automation.

Chris Kong is a two‑time founder and previously served as CEO of Better Nature, a leading EU alt‑protein brand, and is a Forbes 30 Under 30 honoree. University sources indicate he holds a master’s degree in Molecular and Cellular Biochemistry from the University of Oxford, and profiles recount his entrepreneurial journey from Oxford into food‑tech before moving into AI‑led CPG operations. This science and consumer brand leadership background complements Sarah AI’s mission to modernize execution‑heavy workflows in physical goods.

Dirk Breeuwer previously led Data, Analytics & AI initiatives at Google, following roles in data science and analytics transformation across fintech and Latin American conglomerates. Public profiles associate him with formal training in business information management and analytics, including Rotterdam School of Management (MSc, Business Information Management) and programs at The Wharton School, with additional exchange studies noted at Universitat Pompeu Fabra. His experience building analytics products and leading data/AI functions at scale aligns with Sarah AI’s agentic, data‑driven approach to CPG ops.

As a founding team, Kong brings hands‑on CPG operator experience, brand‑building, and commercialization, while Breeuwer contributes deep data/AI leadership and productization. Together they are positioned to translate AI advances into autonomous workflows that cut manual spreadsheet/ERP toil for CPG operators. YC, LinkedIn, and PitchBook place the company in San Francisco with early‑stage momentum.