AI software for bakery chains and groups

The Predictive Baking Engine.

From a five-shop bakery to a multi-company group: one engine learns every product in every shop, files every invoice, and plans every batch before the shops open.

Open a live bakery — no signup4-week diagnostic — no cost
Signals on the left, the engine in the middle, decisions on the right, fanning out to the shops.
Signals in
POS · Pozuelo Estaciónin-store sales, streaming
AEMET — 31 °C, clear, tomorrowweather signal
Event — Feria de Chamberílocal calendar
IoT — cold room 2: 3.1 °Ccold-chain telemetry
The engine
BakeWise Biga Engine
1 demand model per product per shop
60+ signals declared · 15–40 per model
weather impact: learned, p<0.05
Decisions out
Production order — Baguette Francesa Tradicional ×100composed line by line
ADVISORYProcurement suggestionfranchise law · RD 201/2010
FAC-2026-01847 → VeriFactuno-gap sequence · AEAT
Obrador Insignia Chamberí → 6 shops, before they openmorning shift · {batches} batches · {units} units
  • Pozuelo Estación
  • La Moraleja
  • Majadahonda
  • Somosaguas
  • Valdemarín
  • Córner Gourmet

Rendered from the data the live demo clones. Open it yourself, in seconds.

The shift

Predictive Baking

Every small hour, someone decides by eye how much each shop bakes. Too much is the afternoon waste; too little, an empty shelf at six.

A twelve-shop chain deserves the same decision quality as a five-thousand-shop multinational. Not a simplified version. The same.

The enemy

  1. A fifteen-day close.
  2. A spreadsheet only its author understands.
  3. Orders arriving by WhatsApp.
  4. The afternoon waste, booked as the cost of the trade.

And the forces are no longer optional

  • The revised EU waste framework binds 2030 targets: −10% in manufacturing, −30% per head in retail.
  • E-invoicing is turning mandatory market by market. Jurisdiction is configuration: Spain ships, Portugal is packaged except invoicing, which fails closed.
  • Labour and energy are repricing. A bakery margin no longer absorbs improvisation.

Three scales, one engine

The same engine, configured to your shape.

Chain · 5–20 shops · one company

Chains with a central obrador

Your POS goes in overnight and the day’s plan comes out before you open.

  1. One model per product per shop, never per family.
  2. Bake plan, dispatch from the obrador, transfers between shops.
  3. Per-shop P&L with waste inside it, scoped per manager.

The Chain route

One obrador, six shops

Obrador Insignia Chamberíone company, one tax ID
  • Pozuelo Estación
  • La Moraleja
  • Majadahonda
  • Somosaguas
  • Valdemarín
  • Córner Gourmet

Group · multi-company, franchise and shared obradores

Groups and franchise networks

Each company keeps its tax ID, its series and its legal posture. The engine aggregates without merging the books.

  1. Tax ID, series and P&L per company; intercompany trade eliminated.
  2. Transfer pricing and franchise royalties, calculated and invoiced.
  3. SAML 2.0 sign-on; joiners and leavers from your directory.

The Group route

One group, seven companies

Artesa Ibérica Holdinga tax ID each
  • Artesa Ibérica Operaciones SL
  • Corporación Espigar SL
  • Forneria Llevant SL
  • Sur Dorado Panadería SL
  • Obrador Mediterráneo Xàtiva SL
  • Padaria Lisboa Centro Lda
  • Sin Gluten Artesa SL

Industrial · plants, lines and an R&D centre

Industrial plants and product development

Plant vocabulary: lines, OEE per equipment, changeovers, master-recipe authority (ISA-88), par-baked physics.

  1. Per-machine telemetry over OPC-UA, MQTT and Modbus.
  2. Trials with arms, sensory panels, lab results, shelf life.
  3. 180 processing aids with E-numbers and EU 1169/2011 allergens.

The Industrial layer

One company, six work centres

Cerealia Industrialplants, R&D, platforms
  • Planta Barberà del Vallès
  • Planta Sarral
  • Planta Vitoria-Gasteiz
  • Centro I+D Cerealia
  • Plataforma logística Ribarroja
  • Plataforma Frío Barberà

One engine underneath. Only the configuration changes.

The product

This is the product. Not an illustration.

The screens an operations lead uses every morning.

Today's Plan

Tuesday 14 October

  • 12

    Batches to bake

  • 1.340

    Units to produce

  • 4

    Deliveries to dispatch

  • 2

    Purchases to approve

What do I bake today?

  • Rustic baguette620 unitsIn progress
  • Butter croissant480 unitsScheduled
  • Sourdough loaf240 unitsScheduled

What do I ship today?

City-centre route · 4 stopsCold chain monitored
  • Pozuelo Estación · 410
  • La Moraleja · 360
  • Majadahonda · 300
  • Somosaguas · 270

Departs 06:40 · last drop ~09:15

What do I buy today?

  • Harinas del NorteT65 flour · 12 sacks€1,240.00Suggested
  • Lácteos Ribera82% butter · 40 kg€486.00Suggested

What to bake, ship and buy today. On one screen, shop by shop.

A reproduction of the real BakeWise interface, with example data.

Materialisation

Not a video. A real bakery.

Open the demo and the orchestrator clones a whole bakery — shops, recipes, stock, sensors, invoices — into a virtual network with its own rows in every database. In seconds, and writable.

Open the demo
Example · rows the Cadena pack seeds
  • Inventory1,258 rows
  • Recipes103 rows
  • Production153 rows
  • Orders421 rows
  • Sales438 rows
  • Invoicing132 rows
  • Forecasting

Every day, unasked

Five decisions that stop being made by eye.

  1. Every shop knows how much to bake before the oven is lit.

  2. Baking too much does not cost the same as running short.

  3. Month-end stops being a weekend of invoices.

  4. Nobody signs off a number without knowing where it came from.

  5. Your sales train your forecast, not a third party's model.

Every sentence carries its figure, and every figure is checkable in the product.

Read the engineering version →

Why it scales

Four layers. Always the same four.

  1. Weather impact is learned, not assumed.
    No hand-written percentages. Every weather rule is fitted on that shop’s own history and applied only when significant (p<0.05).
  2. The number comes from the cost of being wrong, not from the average.
    The forecast arrives as a band, and the kernel picks the point that minimises that product’s expected cost of error. Per product, never per sector.
  3. Advisory or executing — the law decides, not a checkbox.
    The procurement agent proposes and stops when the recipient is a franchisee: RD 201/2010 requires it. In your own company, it executes.

Four more mechanisms, on the engine page

Four layers, read from the bottom up: signals, models, decisions, governance.
  1. SignalsPOS, weather, local calendar, sensors, ERP — declared per trade, resolved per country.
  2. ModelsOne per product and per location, handing over a calibrated band.
  3. DecisionsBake, buy, deliver, price, invoice — at the cost of error.
  4. GovernanceWho approves, who only advises, and a breaker nobody can switch off.

Scale changes each layer’s width, never the engine.

Institutional ground

What is checkable, and only that.

Enterprise-ready

What a procurement committee asks, answered first.

  1. All data at rest in the EU, subprocessor list on request.
  2. SAML 2.0 sign-on, with SCIM 2.0 provisioning and deprovisioning.
  3. A tamper-evident audit trail, verified nightly, alerting on a broken link.
  4. Point-in-time recovery and a retained copy that can only be added to.
  5. Per-company isolation on every row, and department-scoped permissions.
  6. No third-party model API in inference: forecasting is served in-house.

Nothing here rests on a claim you cannot check.

Security and data protectionArchitecture

Language parity
Spanish, English and Basque at full parity, verified in continuous integration.

Ecosystem

  • GOe — Gastronomy Open Ecosystem: the 2026 acceleration programme BakeWise is in.
  • Basque Culinary Center: the gastronomy faculty that drives it.
  • BIC Gipuzkoa: the innovation business centre for industrial development.
  • HAZI: the Basque public corporation for agri-food development.

Why vertical AI wins

Depth beats breadth.

A generic forecasting engine does not know that a barra is baked twice a day. Or that par-baked shelf life changes on thawing. Or that each jurisdiction has its own invoice rule.

Every shop that joins trains its own model, on your data and nobody else’s.

Bread is the fastest clock in fresh food: hours of shelf life, made before dawn, sold or lost by close.

Built as a generic operational governance layer — baking is the first vertical.

Read why we started with bread

Price

Priced against the regional manager you won't need to hire (€42–55K/yr) — not against software.

See plans and limits

Questions

Three questions before you book a demo.

The three you are asking yourself right now.

  • Will rolling out across seven shops paralyse us?

    No. Shop-by-shop deployment without stopping operations. Start with 2, scale to the rest in 4 weeks. Your team keeps working as today while BakeWise learns.

  • What if the AI hallucinates and a manager trusts it?

    It calculates, alerts, and proposes — it doesn't decide. Every suggestion shows its reasoning, every action is traceable and reversible. Your team stays in charge.

  • Will sales call me if I try the demo?

    Not unless you ask. No card, no contract. The demo runs in a virtual tenant that expires in 30 minutes — no trace, no email.

Read today

  • Square
  • Toast
  • Lightspeed
  • Revo
  • Storyous
  • Epos Now
  • CSV / SFTP
  • Dynamics 365 Business Central

Open it

The engine is running. Go and look.

Seconds, no signup, on a trial bakery that expires by itself.

Open a live bakery — no signup4-week diagnostic — no cost

No card, no sales call, no form first.

Signals in
POS · Pozuelo Estaciónin-store sales, streaming
The engine
BakeWise Biga Engine
1 demand model per product per shop
Decisions out
Production order — Baguette Francesa Tradicional ×100composed line by line