The AI category-management platform that builds a planogram for every store - not every region.
OMNISTREAM. The company's brand mark. Its software turns a retailer's sales data into store-level shelf plans in minutes - the quiet document that decides what you reach for.
Photo: Omnistream / company handout.
The Dispatch
Most shoppers never notice the planogram - the shelf-layout diagram that decides which products sit at eye level and which get buried near the floor. For a century, retailers drew it by hand and rolled a single template out to thousands of stores. Omnistream thinks that averaging is quietly expensive.
Founded in Singapore in 2018 and now headquartered in Sydney, Omnistream builds AI-powered, consumer-centric planograms - unique shelf plans generated store by store from a retailer's own sales and product data. Its founder and CEO, Wendy Chen, spent years running algorithmically driven trading desks in New York and Hong Kong before turning the same quantitative playbook on convenience stores and supermarkets. Where finance had replaced gut-feel with data, she argued, retail category management was still largely manual and averaged.
The pitch is unglamorous and specific: right product, right store, right place, right price. Omnistream's software integrates with a retailer's existing systems, ingests the data, and generates store-level planograms in minutes - then simulates countless alternative scenarios before a single product is moved. Today it is deployed across more than 8,500 retail locations spanning Asia, Australia, Europe and North America.
The Problem
When a retailer plans for the "average store," every real store is slightly wrong - too much of what won't sell, too little of what will. Multiply that across thousands of locations and the result is spoilage, overstock and missed sales. In grocery and convenience, where margins are thin and fresh product perishes, the cost compounds daily.
Omnistream's answer is to plan each store on its own data - geography, competition, store composition and shopper behaviour - rather than a regional rule of thumb. The company frames its work as accountable "from data to shelf," and measures success by whether a client's KPIs actually move.
What They Do
The platform is data-native and hosted on Microsoft Azure, integrating modularly with a retailer's supply-chain and planning systems. Instead of rigid, rule-based templates, it runs dynamic scenario simulations and prioritizes the numbers that pay the bills - sales, profit and basket size - then layers visual and merchandising guidelines on top.
The tagline sums up the positioning against heavyweight legacy tools: "AI-powered category management. Simpler. Faster. Affordable."
"Omnistream successfully managed our network-wide store-level assortment roll-out during a time when shopper behaviour changed more in 6 months than in 35 years."
— Victor J. Paterno, President & CEO, 7-Eleven PhilippinesHow It Works
Integrates with existing systems and ingests the retailer's sales and product data, plus external signals.
AI builds store-level planograms and simulates countless assortment and layout scenarios in minutes.
Tracks performance against sales, profit and basket size, then surfaces the next recommended actions.
By The Numbers
Figures are company / client-reported ranges. Bar widths are illustrative.
Products & Services
Cloud software that ingests sales and product data to generate consumer-centric, store-level planograms in minutes, optimizing range and shelf-space decisions.
Machine-learning engine that customizes assortments by geography, competition and store composition - a unique planogram per location, not one template.
Dynamic "what-if" engine that models countless assortment and layout scenarios, replacing rigid rule-based systems, optimized for P&L.
Performance tracking and algorithmic recommendations that close the loop from data to shelf and monitor real-world outcomes.
Who Uses It
Omnistream serves large multi-store retailers in convenience, grocery and health & beauty. Its named clients span some of the region's best-known banners.
Business Model
The company licenses its Azure-hosted software to retailers on a subscription basis, integrating with existing supply-chain and planning stacks. Rather than selling on features, it frames value around measurable P&L impact - incremental sales, reduced waste and lower inventory days. A team of roughly 27 supports clients across Singapore, Australia, Vietnam and the Philippines.
The Founder
Before Omnistream, Wendy Chen worked at an algorithmically driven market maker on Wall Street from 2007 to 2012 - joining as quant trading infrastructure hit its inflection point - and later ran automated commodities desks reporting annual profits north of US$100M. She then turned to angel investing across Canada and Silicon Valley, and an early bet on Instacart put her face-to-face with the messiness of grocery operations.
That exposure became a thesis: a century-old, fragmented industry that touches every person on earth was still planning by human intuition and averages - the same inefficiency algorithmic trading had already dismantled in finance. She launched Omnistream from Singapore specifically to reach early-adopter retailers in Asia before expanding west.
"You have to have that humility. You're going into an industry that's worked for 100 years before we showed up."
— Wendy Chen, Founder & CEO, OmnistreamFunding
In June 2022, Omnistream closed a US$7M Series A led by SIG Venture Capital - the Asian arm of Susquehanna International Group - with Delivery Hero Ventures, Spiral Ventures and Wavemaker Partners participating. Total funding stands at roughly US$8.78M. The round followed tenfold usage growth in the first half of 2022 and funded plans to add 50+ roles and expand into North America and Europe.
"The company's growing pipeline of inbound demand from retailers globally is testament that they have built something unique."
— Blake Ong, SIG Venture CapitalTimeline
Wendy Chen launches from Singapore to bring quantitative decision-making to retail category management.
The platform moves beyond static planograms into dynamic what-if simulation.
Adoption surges, reaching 8,500+ locations across four continents.
SIG leads a round to accelerate global expansion.
Its data-powered planogram solution lists on the Microsoft Azure Marketplace.
Where It Fits
Category management and space planning have long been dominated by heavyweight suites - Blue Yonder (formerly JDA), Nielsen's Spaceman, Symphony RetailAI, Relex and Oracle Retail - and, inside many retailers, by spreadsheets and CAD-drawn planograms. These tools are powerful but often slow, expensive and template-driven.
Omnistream positions itself as the simpler, faster, more affordable alternative: cloud-native, quick to deploy, and built to generate a distinct plan for every store rather than a regional master. Its edge is less any single feature than a philosophy imported from quantitative finance - simulate widely, optimize for the P&L, and let the data, not the template, decide the shelf.
Worth Knowing
Quant roots. Chen ran automated trading desks in New York and Hong Kong before touching a single shelf.
Instacart early. An angel bet on Instacart first exposed her to grocery's data problem.
Asia first. The company launched in Singapore to reach early-adopter retailers before going west.
The humble planogram. Omnistream optimizes the shelf diagram most shoppers never notice.
Distributed team. Roughly 27 people across Singapore, Australia, Vietnam and the Philippines.
Azure-native. Built data-first on Microsoft Azure and listed on its marketplace.
FAQ
It provides AI-powered category-management software that turns a retailer's sales and product data into consumer-centric, store-level planograms - the shelf-layout plans that decide what products go where in each store.
It was founded in 2018 by Wendy Chen, a former quantitative trader and angel investor, who serves as Founder and CEO.
Large multi-store retailers in convenience, grocery and health & beauty - including 7-Eleven, Watsons, FairPrice, Supabarn and Selecta - across more than 8,500 locations in Asia, Australia, Europe and North America.
Roughly US$8.78M in total, including a US$7M Series A in June 2022 led by SIG Venture Capital, with Delivery Hero Ventures, Spiral Ventures and Wavemaker Partners participating.
Client-reported outcomes include incremental sales growth of about 4-11% (5-10% in focus categories), up to ~85% less waste and around 6% lower inventory days on hand.
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