Industries
We know your constraints before we arrive
An engineer who discovers your industry on scoping day is billing you for their own education. Our teams have already worked under your rules.
Energy and utilities
Distributed installations, an absolute availability constraint, and traceability that has to hold up years later.
Your constraints
Availability and remote sites
Installations are dispersed and sometimes weakly connected. A system that assumes a permanent link does not survive the field: it needs degraded-mode operation and clean resynchronisation.
Defensible traceability
Production, quality and intervention records must be reconstructable long afterwards, with operator identity and timestamp. Historisation is not a convenience, it is a requirement.
Access separation
Sensitive operating data cannot be opened to everyone to satisfy a reporting need. Rights have to be designed by role and by site, not granted wholesale.
Mixed generations of tools
A single operator runs a recent package, an application built in-house fifteen years ago, and spreadsheets. Integration has to absorb that gap without forcing wholesale replacement.
Our response
We work the full software chain: digitalising operations and maintenance processes, ERP, field applications for site teams, data consolidation, then decision-grade reporting. Our teams have worked for major operators in the sector, including Sonatrach, GE and Algérienne des Eaux.
Food and beverage
End-to-end traceability isn't reconstructed on recall day. It's built before.
Your constraints
Batch traceability
Linking a finished batch to its raw materials, crew, equipment and process parameters. On a recall, that chain has to be walked in minutes, not days of archives.
Shelf life and stock rotation
Expiry management imposes strict issue rules and permanent visibility on stock age. Stock managed as an average, with no batch or date, costs in write-offs what it saves in simplicity.
Material yield
The gap between theoretical and actual consumption turns on a few points and is rarely measured continuously. Without automatic declaration from the line, it only surfaces at stocktake.
Quality control at line speed
Visual inspection on a fast line tires operators and lets defects through at end of shift. It is one of the cases where computer vision produces a measurable gain.
Our response
We deploy ERP across production, inventory and quality, with capture as close to the station as possible — terminal or mobile, barcode scanning — rather than deferred re-keying. Product genealogy then builds continuously, as the work happens.
Manufacturing
An OEE figure computed once a month in a spreadsheet has never won back a point of yield.
Your constraints
Planned versus actual
The plan is built on theoretical routing times nobody has revised in years. With no feedback from the floor, scheduling drifts a little further every cycle.
Inventory accuracy
Work in progress and scrap aren't declared as they happen, so book stock diverges from physical until the annual count absorbs the gap without explaining it.
Actual unit cost
Without real time and consumption booked against each work order, unit cost stays an estimate. Pricing decisions are then made blind.
Reactive maintenance
Interventions are triggered by failure. The history exists, often on paper, but is never used to anticipate.
Our response
We connect scheduling to the shop floor: paperless work orders, production and scrap declarations at the station, OEE computed on real data, and cost per order. Routing times then get corrected against reality rather than by expert opinion.
Automotive
In the automotive chain, traceability and flow discipline aren't internal goals. They're conditions of entry.
Your constraints
Part-level traceability
Identifying a part, its material batch, its station and its operator — and being able to bound a containment precisely rather than quarantining a whole run.
Just-in-time and delivery windows
Buffer stock is low by design. Any production deviation propagates straight to delivery, so the alert has to be immediate, not weekly.
Customer quality requirements
Audits test your ability to demonstrate the process as much as the product. Records must be produced on demand, not reconstructed.
Supplier quality
Upstream performance sets yours. Without a structured non-conformity history per supplier, negotiation happens without data.
Our response
We put in place part-level traceability, flow control and supplier quality tracking, backed by an ERP that holds lead times and customer commitments. Audit records become an output of the system rather than a preparation exercise.
Supply chain and distribution
Stock that is right on paper and wrong on the shelf costs you twice: in stockouts and in tied-up cash.
Your constraints
Accurate stock across sites
Every warehouse, depot and distribution point ends up holding its own version of the truth. Until movements are captured as they happen, the gap between book and physical stock widens and a full count becomes the only remedy.
Planning and replenishment
Replenishing from experience works while the range is short. Beyond that you need reorder points calculated from real history, seasonality and supplier lead times — otherwise cash sleeps in stock while you run out elsewhere.
Order to delivery
Finding out what happened to an order — who entered it, picked it, shipped it, and when — should not take three phone calls. Without end-to-end traceability, customer service works blind and disputes settle against you.
Supplier performance
Lead times actually met, service rate, quantities delivered in full: these already exist in your data, rarely in usable form. They are also the strongest argument you can bring to a renegotiation.
Our response
We deploy Odoo as the single backbone for purchasing, inventory and sales, with movements captured where they happen — picking station, goods-in, dispatch — then interfaces to the tools you keep. On top of it, the dashboards that track stock cover, service rate and supplier lead-time performance.
Recycling and environment
Heterogeneous input material, and a sorting yield that decides the margin.
Your constraints
Inbound flow traceability
Origin, weight, quality and purchase price per delivery. Without reliable capture at the weighbridge, every downstream yield calculation rests on an uncertain base.
Sorting yield
The gap between inbound tonnage and recovered tonnage is the central economic indicator. It has to be measured per batch and per line, not as a monthly aggregate.
Regulatory reporting
Environmental reporting obligations require consolidated, defensible data. Rebuilding those returns by hand costs time every period.
Volatile resale prices
Recovered material prices swing sharply. Without a current cost per flow, purchasing and storage decisions are made without a reference point.
Our response
We connect the weighbridge, sorting and sales into a single system: traceability from delivery to sold batch, yield measured per line, cost per flow, and automatic production of regulatory returns.
Your industry isn't listed?
The method doesn't change: understand the real process before digitalising it. Let's talk about your context.
No commitment — you leave with an order of magnitude.