Inventory and stockout management
Stock read in real time, with consumption patterns followed by algorithm. Replenishment adjusts before anything runs out or piles up.
AI, Design & Technology tailored for supermarkets
From operations to growth. AI-accelerated solutions, led by specialists. Find out your supermarket's AI maturity index.
Trusted by 300+ Silicon Valley startups and enterprises across 21 countries, such as:
The platform
Context and data in one place. It is what guides the build.
SSuperMark
WORKSPACE
Home
INPUTS
Documentation
Conversations
Emails
Benchmarking
Personas
A6 INTELLIGENCE
Team
Agents
Skills
Database
Guardrails
OUTPUTS
Results
Metrics
Deliverables
Idea to Product
Search/
GGustavo
Results
Forecast-assisted replenishment
RISK
None foundSOURCES
6TECHNICAL FEASIBILITY
Feasible todayStart project
SUMMARY
The buyer gets a suggested order per store and per day, with shelf life and seasonality in the calculation. It came out of ERP and POS history, with no new sensor in the store.
IMPACT
R$ 310k/year
estimated gain · conservative scenario, 12 months
INVESTMENT
R$ 148k
fixed, one delivery · paid by milestone
RETURN
~9 months
payback · the fastest of the 6
ROLLOUT
10 weeks
2 people · pilot in 3 stores
Financial return
Cumulative return against what was invested.
Investment R$ 148kCumulative returnPayback in month 9
month 0month 6month 11month 17
Progress
See moreOf the total work up to the MVP live.
45%done
45% · done in the assessment
sales by item and store mapped, out-of-stock measured by section, case chosen
35% · to build
ERP and POS integration, forecasting model, buyer screen
20% · validate and ship
pilot in 3 stores, tuning and handover to the chain
What happens now
2 steps to the first measured result
01
Release the sales and stock history of the three pilot stores
02
Agree with the buyer on the acceptable out-of-stock level per section
What is at stake
Retail loses more than it grows
~11%
of items are missing from the shelf in a typical month. The customer switches brand or store, and you only see it at closing.
Neogrid Out-of-Stock Index, 2026
69% of grocers still do not use AI. Whoever starts now pulls ahead.
The free assessment shows where your chain should start.
ABRAS Ranking 2026
AI solutions and benefits in retail. From operations to growth.
Fewer stockouts, less shrink, fewer spreadsheets.
How we work
From assessment to results, in three stages
01
Assessment
We map operation, data and systems and rank the Product, Operations and Growth fronts by return. You decide with numbers on the table.
Deliverables
- Prioritisation matrix
- Return estimate
- 90-day roadmap
02
Implementation
We build the first solution with your team, integrated with the ERP, POS and channels you already have. We start with one store or category and measure before scaling.
Deliverables
- Solution in production
- Agreed baseline and target
03
Evolution
We watch the models in production, tune them on real data and take what worked to the other stores and fronts.
Deliverables
- Continuous monitoring
- Result rituals
- New roadmap initiatives
Most AI projects die in the pilot for lack of data, of an owner or of a target. Our process exists so that yours reaches the operation.
Talent, heart, speed communication and attention to details.
Logan Deans
Professor · Stanford University
About Atomsix
We are a reference in Design &
Development of digital solutions
with Artificial Intelligence
Neither off-the-shelf tool nor code factory. We are the partner that understands the problem, designs the solution and puts AI into production in your chain.
More than 400 projects across 21 countries for the world's leading innovators.
Who leads
Who leads Atomsix
2x Apple Editor's Choice
Gui Ferreira
Founder and CEO of Atomsix
A designer with more than 25 years building digital products. Before founding Atomsix in 2020, he led apps awarded by Apple and served clients in Silicon Valley. He has helped over 300 companies across 21 countries, including Google, Amazon, Microsoft, Samsung and Mercedes-Benz. Author of the book Criando Produtos que as Pessoas Amam and a speaker at TDC.
LinkedIn
Head of AI
Gus Novloski
Co-founder and Head of AI at Atomsix
An electrical engineer and co-founder of Atomsix. He leads the AI practice and champions user experience in AI products: technology only pays off when people actually use it. He writes about organizational creativity in the age of AI and teaches at accelerator programmes and AI workshops.
LinkedIn