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Streamlining the merchandise chain, from design to point of sale.

Range structuring, supplier relations, landed cost, replenishment, omnichannel consistency: we automate your teams’ low-value tasks and bring data to where decisions are made.

The leadership challenges

What is at stake for leadership.

  • A clear, profitable range

    Structure the assortment (breadth, depth, price tiers) on actual performance, not on gut feel consolidated by hand.

  • Control of landed cost and margin

    Make the effect of every choice (material, component, make, logistics) on landed cost and markup visible from the design stage.

  • Reliable supplier exchanges

    Requests for quotation, specifications, lead times and compliance tracked in a single flow, rather than scattered across inboxes and files.

  • Deciding on consolidated data

    Sell-through, stock cover, markdown, stock turn: reliable, up-to-date indicators shared by merchandising, supply chain and the store network.

Function by function

The time-consuming tasks, and what we put in place.

The functionTime-consuming tasksWhat we put in place

Product manager

Builds and evolves the range for their product category.

Time-consuming tasks
  • Consolidate sales history to structure the season’s range
  • Write and update tech packs and specifications
  • Compare supplier proposals, item by item
  • Recalculate landed cost at every change of material or component
What we put in place
  • InterfaceRange-planning cockpit: performance by attribute, assortment scenarios, traceable decisions.
  • SteeringLanded cost simulation based on the selected materials, components and make, using your past purchasing data.
  • AI agentPre-filling of tech packs and structured comparison of supplier offers.

Buyer and sourcing

Selects suppliers and negotiates purchasing terms.

Time-consuming tasks
  • Launch and track requests for quotation and tenders
  • Chase samples, quotes and confirmations
  • Collect and check certificates and test reports
  • Prepare negotiations from scattered data
What we put in place
  • InterfaceSupplier portal: RFQs, versions, deadlines and documents in one place.
  • AI agentReading of quotes and certificates, with price, lead-time or compliance gaps flagged.
  • SteeringSupplier rating over time: price, on-time delivery, quality.

Merchandise planner and allocator

Ensures product availability, from warehouse to store.

Time-consuming tasks
  • Calculate requirements and prepare replenishment orders
  • Track open orders and delays
  • Adjust forecasts by hand during the season
What we put in place
  • SteeringReplenishment proposals calculated on sales, stock cover and seasonality, approved by the planner.
  • EcosystemERP, warehouse and supplier integration: order statuses kept up to date without re-keying.
  • AI agentDelay alerts and proposed trade-offs.

Visual merchandiser and e-merchandiser

Showcases the range, in store and online.

Time-consuming tasks
  • Write, enrich and translate product pages
  • Check price, stock and visual consistency across channels
  • Prepare promotions and commercial operations
What we put in place
  • EcosystemA single product repository (PIM) feeding the website, marketplaces and stores.
  • AI agentFirst drafts of product pages and translations, reviewed by the team before publication.
  • SteeringAutomatic omnichannel consistency checks.

Pricing manager

Sets and manages prices and promotions.

Time-consuming tasks
  • Monitor market prices
  • Simulate the impact of markdowns and promotions
  • Push price changes to every system
What we put in place
  • InterfacePricing rules engine with margin impact simulation.
  • EcosystemAutomatic price distribution to tills, the website and shelf labels.

Retail operations management

Steers store performance.

Time-consuming tasks
  • Consolidate store returns and reports
  • Prepare the weekly network reporting
  • Track stock counts and shrinkage
What we put in place
  • SteeringNetwork dashboard: sales, footfall, conversion rate, average basket, shrinkage.
  • InterfaceStructured store reporting, with no files to consolidate.
One process, before and after

From range structuring to the supplier purchase order.

Today
  1. Sales history extracted Manual
  2. Consolidated in a spreadsheet Manual
  3. Tech packs written Manual
  4. Supplier quotes compared one by one Manual
  5. Landed cost recalculated at every change Manual
Tomorrow
  1. Sales and performance consolidated Automated
  2. Assortment scenarios proposed Automated
  3. Product manager makes the call Human decision
  4. Tech packs and comparisons pre-filled AI agent
  5. Landed cost simulated, order placed Automated
  • Manual
  • Automated or AI agent
  • Human decision
Investment and return

What the task costs, what the solution costs.

  1. 01

    What the task costs today

    Time spent × frequency × full cost of the roles involved, plus the cost of errors (credit notes, disputes, re-keying) and of delays.

  2. 02

    What the solution costs

    A scoped diagnostic, then a staged build, each stage priced before it starts. Running costs (hosting, licences, maintenance) are stated from the outset.

  3. 03

    The return

    Calculated task by task, on your volumes: hours redeployed, errors avoided, lead times shortened. We start with the tasks that pay back fastest.

We do not publish an average gain: it depends on your processes and volumes. The diagnostic quantifies it, task by task, before any commitment.

Questions from leadership

What we are asked.

Which retail roles can be automated with AI?
The repetitive tasks of six roles first: product manager (range structuring, landed cost), buyer (RFQs, chasing), merchandise planner (replenishment), merchandiser (product pages, omnichannel consistency), pricing (price distribution) and retail operations management (reporting). The diagnostic identifies which ones pay back fastest in your business.
How do you automate a product manager’s range structuring?
By automatically consolidating sales, margins and product attributes in a cockpit that proposes assortment scenarios. The product manager makes the calls, instead of spending days preparing files.
How do you calculate a product’s landed cost in real time?
By linking the bill of materials to material and component prices from your purchasing data, to make costs and to logistics. Every change of material or supplier recalculates the landed cost and the markup.
Can supplier exchanges be automated?
Yes, for the mechanics: RFQs, chasing, reading quotes and certificates, tracking lead times, all in a shared portal. Negotiation and supplier selection remain human.
Can AI replace a product manager’s work?
A large share of the preparation tasks, yes: consolidating sales, comparing supplier offers, calculating landed cost, first drafts of tech packs. What remains human is the decision on range, prices and suppliers. In practice, the product manager moves from preparing files to making decisions.
For the CIO

An architecture that fits what you already have.

  • Integration, not replacement

    We start from your ERP, PLM, PIM, WMS and point-of-sale systems, and connect them.

  • A single repository

    One source of truth for product and supplier data, distributed to every system.

  • Documented, traceable flows

    Logged APIs and exchanges: you know what was sent, when, and why.

  • Governed AI agents

    Defined scope, human approval on uncertain cases, a log of every action.

Other sectors
03 — Getting started

Describe what’s holding your teams back.

A first conversation to qualify your need. Then a scoped diagnostic: the scope, the solution, the estimate.

Discuss your project

Reply within 48 business hours.