Ops + AI studio

S&OP

Data Analytics

Automation

AI Enablement

Founded by Rafael , a CTO and COO whose last venture took investment from of an LVMH , backed venture, and Fermin , an AI scientist with a background in robotics. We offer brands a better way to scale operations than hiring.

We use the latest tech and processes to scale operations profitably, so you can focus on product, brand and community.

WHERE WE COME FROM

What we can do for you

Four services on one source of truth. We connect your systems. We build the applications. We automate the manual work.

  1. S&OPOne plan for the whole business.
  2. Data AnalyticsNumbers everyone trusts.
  3. AutomationLess manual work, fewer mistakes.
  4. AI EnablementAI that gives your team time back.

S&OP

One plan for the whole business.

We set up a planning rhythm your team can keep. Sales, supply and buying work from the same forecast. When something changes, everyone knows what to do next.

*Figures on mockups are dummy data for demo purposes

  • Demand Planning

    A forecast per product, colour and size, built from sales and the season plan.

  • Supply Planning

    A stock roll-forward per SKU, with cover targets, lead times and minimum orders.

  • Purchasing

    Suggested buys become purchase orders, tracked from the supplier to the warehouse.

  • Collection planning

    Season targets by category, product and colour, approved by the team.

  • Weekly meeting

    Pacing, projections and stock risk on one page, with an AI summary.

  • Scenarios

    Try a new market or warehouse without touching the live plan.

Data Analytics

Numbers everyone trusts.

We bring your data into one place, in tools your team already uses. Everyone sees the same revenue, stock and margin. Reports are built for the meetings where decisions get made.

*Figures on mockups are dummy data for demo purposes

Every system, one source of truth.

We connect the systems you already have. Their data goes into one data warehouse. It updates through the day. Every app reads from it. A number means the same thing everywhere.

Point at a system to follow its data. Point at an app to see what feeds it.Tap a system to follow its data. Tap an app to see what feeds it.

  • Online store

    Orders, products, variants, customers, refunds and abandoned checkouts.

    Feeds every app

  • Paid search

    Spend, clicks and conversions, and paid search in the channel reports.

    Feeds Analytics and the Assistant

  • Paid social

    Spend, return on ad spend and placements, by campaign, market and product.

    Feeds Analytics and the Assistant

  • Web analytics

    Traffic, sources, markets and the conversion funnel.

    Feeds Analytics

  • Warehouse

    Stock by location, with incoming, reserved and damaged units.

    Feeds every app

  • Wholesale

    Wholesale orders, the draft order pipeline and the order book.

    Feeds S&OP, Analytics and Retailer ATS

  • Budget

    The budget and forecast workbook from the finance team.

    Feeds S&OP and Analytics

  • Accounting

    Invoices and costs, so margins use the real numbers.

    Feeds Analytics and the Assistant

Automation

Less manual work, fewer mistakes.

We follow the work first, then simplify it. Systems take the repetitive steps. Your people keep the decisions.

*Figures on mockups are dummy data for demo purposes

  • System integration

    Scheduled syncs between your store, warehouse, wholesale and finance, retried and checked.

  • AI powered process automation

    Agents carry out routine work, like splitting an order across two warehouses.

  • Machine Learning forecasting models

    Models forecast demand, are scored against actuals every month and retrained.

  • Approvals

    People approve what matters in one click, with the reasons shown.

  • Monitoring

    Every run is logged. Problems are flagged before anyone notices.

  • Time saved

    Hours saved per team, measured every week.

AI Enablement

AI that gives your team time back.

We start with a real task, not a tool. We test AI on everyday work and measure the time it saves. What works stays, in your accounts, for your team to run.

*Figures on mockups are dummy data for demo purposes

  • LLM Deployment

    Assistants in your own cloud, on your data, with answers that cite their sources.

  • Workflow automations

    Drafts for customer emails and product copy. A person chooses what goes out.

  • Business Reporting

    The Monday brief writes itself, and every line is checked against the chart.

  • Permissions

    People only get answers from what they can already see.

  • Measured

    Time saved per task and per team, reported every week.

  • Your accounts

    Models, data and logs stay in your cloud and are never used for training.

Start with one service. The rest connect to the same data.

Talk to us

5 reasons brands love to work with us

  • 1

    Insanely fast, insanely high quality

    Experienced operators, working with AI. We move quickly, and every number is checked against its source.

  • 2

    We truly care about your objectives

    We join your team and work towards your goals. We answer for the numbers the way an employee would.

  • 3

    We never build for the sake of building

    We start with a real task, not a tool. We simplify the work first, then build only what it needs.

  • 4

    We will be the first to tell you if we are not a good fit

    Every project starts with a conversation, not a proposal. If we cannot help, we say so straight away.

  • 5

    We bring fun, curiosity, and new ways of work to your team

    We work inside your team, on real work. We try new tools together, and your people learn as we go.

Case studies

Apps and data, built in partnership with growing brands.

Some of our partners

Helping brands grow while staying small.

  • Brain Dead

    Los Angeles, USA

  • C'est Normal

    Stockholm, Sweden

  • Saela

    USA

  • Spunge

    Los Angeles, USA

  • Tom Wood

    Oslo, Norway

  • Various

    USA

  • Vestre

    Oslo, Norway

  • Viking

    Oslo, Norway

Notes from the work

Short notes on planning, data, automation and AI.

  1. Why better operations create room for creativity

    The launch should take your attention. Chasing its stock should take less of it.    S&OP
    2 min

  2. AI should give teams their time back

    Count the checking, correcting and chasing before calling something a time saving.    AI Enablement
    2 min

  3. Turning disconnected data into a shared view

    Agree what the numbers mean before asking everyone to use the same report.    Data Analytics
    2 min

  4. Building a demand planning rhythm

    A forecast becomes useful when the team knows when to change it and what to do next.    S&OP
    2 min

  5. From manual workflow to useful automation

    Follow the work, simplify it, then decide which parts a system should handle.    Automation
    2 min

  6. Testing AI agents on everyday operations

    A practical trial for a small task, with a clear way to decide whether to keep it.    AI Enablement
    2 min

  7. Comparing forecasting approaches for seasonal demand

    Give a new forecast a fair test against a simple starting point.    S&OP
    2 min

  8. What makes a reporting tool useful?

    Try it in the meeting where someone has to make a decision.    Data Analytics
    2 min

  9. What an AI study tells us about helping a team

    A reading note on Generative AI at Work, and a practical question for your own business.    AI Enablement
    2 min

  10. Give AI the right reference material

    A reading note on retrieval, and why the source of an answer matters.    AI Enablement
    2 min

  11. Test a forecast without giving it the future

    A reading note on time series evaluation, with a buying decision in mind.    S&OP
    2 min

  12. 32% less inventory, still growing

    When KPIs become the center of attention, it's easy to forget the strategy. And miss sales along the way.    S&OP
    4 min

  13. A new brand of S&OP

    The method works. The problem is the time and work it takes to run it.    S&OP
    4 min

  14. Agents inside integrations

    Most integrations only work when the data is perfect. An agent handles the part that is not.    Automation
    3 min

  15. 5 ways we increase your gross margin

    Gross margin leaks in places nobody owns. These five turn up in almost every brand we work with.    Logistics
    3 min

  16. How brands end up with four numbers for revenue

    We have all been to a meeting where no one agreed on the number. Our take.    Data Analytics
    3 min

  17. Hire the function, not the person

    We love big companies with small teams. Here is how we make that happen.    Studio
    3 min

  18. How we build a single source of truth

    One place where the numbers agree, built in tools your own team can work in.    Data Analytics
    3 min

  19. How we join your ops team

    We take real work, in your systems, on your cadence. Then we leave when it runs without us.    Studio
    3 min

  20. How we select 3PLs

    Rate card last, outcomes first.    Logistics
    4 min

  21. How we work with enterprises

    You have the systems, the teams, and the governance. What we bring is speed, and things your people can own.    Studio
    3 min

  22. How we work with scale-ups

    Growth is stressing the planning, the systems, and the margins. This is the stage we built Telemyr for.    Studio
    3 min

  23. How we work with startups

    The habits you build at ten people decide what scaling costs you later. Getting them right early is cheap.    Studio
    3 min

  24. Modernising B2B operations

    B2B is the most predictable part of most brands. It is usually the least automated.    Automation
    4 min

  25. Modernising business controlling

    Controllers spend most of the month explaining what already happened. Very little of that work still needs a person.    Data Analytics
    3 min

  26. Our approach

    Experienced operators, working with AI, embedded in your business.    Studio
    3 min

  27. Scenario planning without a two week wait

    Most scenario work arrives after the decision. By then it is a record of what you could have done.    S&OP
    3 min

  28. Stop pushing AI tools to your team. Raise the ambition instead.

    Rollouts create users. Ambition creates inventors. Set targets the old way of working cannot reach and let the team find the way.    AI Enablement
    3 min

  29. The 24hr rule

    Imagine no process in operations is allowed to take more than one working day. What would you have to change to get there?    Automation
    3 min

  30. The battle of the inventory

    Ecommerce and wholesale fight over the same stock in most brands. The allocation policy gets blamed. The buy is usually the problem.    S&OP
    3 min

  31. What the first month looks like

    An engagement starts with a conversation rather than a proposal. Here is the sequence from that conversation to something working.    Studio
    3 min

  32. What we tell CEOs who ask about AI strategy

    There is no AI strategy. There is a business strategy, and better tools to execute it with.    AI Enablement
    3 min

  33. When to build and when to buy

    The old rule was to buy anything that was not your core advantage. Building got cheap enough that the rule needs revisiting.    Studio
    3 min

  34. Where AI projects go wrong

    Most AI projects in operations fail for the same three reasons. Almost none of them are technical.    AI Enablement
    2 min

  35. Where is the profit?

    Most brands have now spent money on AI and cannot point to the result. The gap is rarely the technology.    AI Enablement
    3 min

  36. Who do we hire these days?

    Teams are getting smaller and flatter. The people worth hiring are the ones who can work close to the task again.    Studio
    3 min

  37. Why dashboards keep failing

    Everyone has bought one. Almost nobody uses it. The same four reasons show up in nearly every business we walk into.    Data Analytics
    3 min

  38. Why we don't sell software

    The cost of building software falls every year. We think the next generation of services sells outcomes rather than tools.    Studio
    3 min

  39. Why we started Telemyr

    We kept meeting the same problems inside consumer brands and wanted to solve them differently.    Studio
    3 min

  40. Your best people are doing your worst work

    The person you would least like to lose is probably spending most of the week on assembly. That is a retention problem as much as a productivity one.    Automation
    3 min

  41. Growing a brand without growing the overhead

    Before the next hire, look at the work that keeps coming back.    Automation
    2 min