Review of Ganacos, Planning Software Vendor

By Léon Levinas-Ménard

Last updated: November, 2025

Ganacos is a Nantes-based French software editor offering a cloud planning platform that converges Sales & Operations Planning (S&OP), demand and supply planning, and financial planning/FP&A into a single, spreadsheet-like environment. It targets mid-sized organizations that have outgrown Excel but still want model-driven flexibility, combining a grid-centric UI with a proprietary calculation language (“Chulengo”) to build scenarios across supply-chain and budgeting processes. The company is small but profitable, with public evidence of deployments at well-known European firms such as Carrefour, Showroomprivé, and Symrise Pet Food, and positions some of its forecasting capabilities under the “Ganacos AI” label. At the same time, its technology stack (Java + relational database, AngularJS migrating to React) is conventional, and the depth of its AI/optimization claims is difficult to verify from public technical documentation; most visible strengths lie in integrated planning, collaboration, and modeling rather than in demonstrably state-of-the-art machine learning or stochastic optimization.

Ganacos overview

From the outside, Ganacos looks like a focused, niche planning vendor rather than a general-purpose enterprise suite. Legal records from the French business registry show that Ganacos (SIREN 821 748 126) was incorporated on 25 July 2016 as a “édition de logiciels” (software publishing) company headquartered in Nantes, France.¹ Filings on Pappers confirm this date and indicate that the company operates as a simplified joint stock company (SAS) with a small team size and no reported group structure.² In 2021, Ganacos appointed Antoine Guéguen as President and Ludovic Giraud as Directeur Général, formalizing a leadership duo that still appears in current corporate records.²

Ganacos’ public positioning is consistent across its website and partner materials: it presents itself as a collaborative, cloud-based platform that unifies S&OP, supply and demand planning, and financial performance management (EPM/FP&A) in one system.³⁴⁵⁶ Marketing assets emphasize that business users can import data from ERP systems and spreadsheets, design models, and run scenarios in an interface that deliberately resembles Excel but with added multi-user governance and central data management.⁴⁷⁸ Independent software directories (Capterra, Software Finder, SoftwareWorld) broadly align with this view, describing Ganacos as a SaaS tool for budgeting, forecasting, and scenario analysis rather than as a narrow point solution.⁷⁸⁹

Commercially, Ganacos remains a small company but is not purely early-stage. Its 2024 annual accounts show a net profit of roughly €344k allocated to reserves and a comfortable cash position, suggesting a modest but viable business rather than a heavily loss-making startup.¹⁰ Third-party articles and industry association events identify named customers — including Carrefour, Showroomprivé, and Symrise Pet Food — using Ganacos for S&OP and performance management.¹¹¹²¹³ This points to a mature, if niche, vendor: small team, limited financing, but with real production deployments at recognizable European firms.

History, structure, and commercial maturity

The formal life of Ganacos begins with its July 2016 incorporation in Nantes.¹² Some French press mentions describe Ganacos as having been “founded in 2015,” likely referring to the project’s inception rather than legal creation; in the absence of corporate filings for 2015, 2016 remains the authoritative incorporation date.¹² Infonet and other business directories report a team size on the order of a few people (3–5), reinforcing the picture of a small, tight-knit editor rather than a large-scale ISV.²¹⁴

Financially, the 2024 accounts filed with the French registry show that Ganacos is profitable, with net income booked to reserves and several hundred thousand euros of cash on the balance sheet.¹⁰ No venture rounds or major capital injections appear in public filings. A PitchBook profile claims that Ganacos was acquired by DataValue Consulting,¹⁵ but there is no matching press release or legal filing explicitly documenting the acquisition. What is verifiable is that DataValue Consulting itself was taken over by Mazars in 2023 after a court-supervised process,¹⁶¹⁷ which introduces ambiguity: if Ganacos did become part of DataValue, it might now sit indirectly under Mazars, but this is not clearly stated anywhere. In the absence of a direct Ganacos–Mazars disclosure, it is more rigorous to treat the acquisition claim as unconfirmed.

Overall, the evidence suggests an established but small French vendor: legally stable since 2016, profitable as of 2024, and with a handful of notable reference customers, but still operating at a scale more typical of a niche planning specialist than of a global APS provider.¹²¹⁰¹¹¹²

Product scope at a glance

Ganacos’ product is a single multi-purpose planning platform rather than a set of separate applications. The main functional pillars, according to the vendor’s own solution pages and partner descriptions, are:

Supply chain & S&OP planning: management of the Sales & Operations Plan, demand and supply planning, load/capacity balancing, Master Production Schedule (MPS), Net Requirements Planning (NRP), and any “complex scenario” requiring cross-functional coordination.³¹⁸
Financial planning & EPM/FP&A: budgeting, forecasting, and performance management, with consolidation and reporting across group, subsidiary, and site levels.⁴⁵⁸
Scenario modeling & simulation: ability to model “what-if” scenarios across both operational and financial dimensions in a shared, spreadsheet-like interface built on a central data model.⁴⁷⁸

Directories and partner write-ups confirm that Ganacos is offered as a SaaS/web solution, with deployment typically involving configuration of models and data integrations rather than custom code.⁷⁶⁸ G2’s pricing snapshot further indicates a commercial model based on annual SaaS subscriptions, functional scope (modules for S&OP, FP&A, etc.), and per-user licensing, with implementation/onboarding invoiced separately.¹⁹

Ganacos vs Lokad

Both Ganacos and Lokad address supply chain planning problems, but they do so with fundamentally different philosophies, architectures, and deliverables.

Core focus
Ganacos is a planning and simulation platform that unifies operational and financial planning in a grid-centric, model-driven UI. Its value proposition is that planners across functions (sales, supply, finance) can work on shared data, build scenarios, and reconcile plans in one cloud tool.³⁴⁵⁶⁸
Lokad, by contrast, is a predictive optimization platform dedicated specifically to supply chain decisions. Its primary output is not a planning grid but prioritized, economically ranked decisions (e.g., purchase orders, stock transfers, production batches) based on probabilistic forecasts and stochastic optimization.²⁰¹⁸²¹
Modeling paradigm
Ganacos exposes a proprietary calculation language, “Chulengo,” that behaves like an advanced formula engine behind a spreadsheet-like interface; it is used to define aggregations, time-series calculations, and scenario logic over shared datasets.²²⁴ Most public descriptions emphasize deterministic scenarios and simulations (including Monte Carlo-style features listed in some directories), but there is no detailed documentation of uncertainty modeling or optimization algorithms behind the scenes.²²⁴⁷
Lokad, in contrast, builds everything around Envision, a domain-specific language explicitly designed for probabilistic modeling and optimization in supply chains.²⁰²³²⁴ Envision scripts define the full pipeline from data ingestion to probabilistic forecasts (full demand distributions) to decision optimization with economic drivers, which are then executed on Lokad’s distributed virtual machine.²⁰²³²¹ The language is intentionally constrained (not Turing-complete) to make large-scale automatic optimization and refactoring feasible.²³
Treatment of uncertainty and “AI”
Ganacos markets some forecasting capabilities under the banner “Ganacos AI”, notably in the context of S&OP forecasting for FMCG retailers.³²⁵ Independent coverage of Carrefour’s S&OP program confirms that the retailer uses Ganacos to generate forecasts that planners then refine, but the underlying algorithms are not described beyond that label.¹¹²⁵ Without whitepapers, benchmarks, or code artifacts in the public domain, the technical meaning of “AI” here remains opaque.
Lokad, on the other hand, provides detailed narratives about its probabilistic forecasting and stochastic optimization, including the use of deep learning, differentiable programming, and bespoke algorithms such as Stochastic Discrete Descent for decision optimization under uncertainty.²⁰²³²¹²⁴ While much of this evidence is vendor-authored, it is at least technically specific: full distributions rather than point forecasts, gradient-based learning of decision-oriented models, and explicit Monte Carlo evaluations of decisions.²⁰²³
Output and user roles
Ganacos’ primary outputs are multi-dimensional planning views: consolidated S&OP plans, capacity plans, Gantt charts, and budget reports, all editable and explorable by planners within the tool.³⁴¹⁸ It looks and behaves like an upgraded Excel workbook—centralized, versioned, and multi-user—but the final decisions are largely shaped by human planners using the platform’s simulations.
Lokad’s primary outputs are ranked decision lists and dashboards that quantify the financial impact and risk profile of each proposed action (e.g., order line, transfer, production batch). The intended user is a supply chain team supported by Lokad “supply chain scientists” who maintain the Envision scripts; planners review, accept, or adjust proposals, but do not typically build models from scratch in a grid UI.¹⁸²³²¹
Scope vs depth
Ganacos differentiates itself by breadth of planning scope at mid-market scale: a single solution spanning S&OP, supply planning, and FP&A/EPM with a familiar interface and relatively light implementation effort.³⁴⁵⁶⁸
Lokad narrows its scope to quantitative supply chain optimization and invests heavily in the depth of the underlying algorithms. It does not aim to replace EPM suites or budgeting tools; instead, it complements existing systems by feeding them economically optimized, uncertainty-aware decisions.¹⁸²³²¹

In short, Ganacos is best understood as a collaborative planning and simulation layer that harmonizes operational and financial planning for mid-sized organizations, whereas Lokad is a programmable optimization engine focused on turning uncertainty-aware models into profit-maximizing supply chain decisions. Organizations comparing the two must decide whether they primarily want an integrated S&OP/FP&A canvas (Ganacos) or a specialized, code-centric optimization stack (Lokad).

History, funding, and ownership signals

Legal and registry sources provide the backbone of Ganacos’ corporate history. The Annuaire des Entreprises (French government directory) records Ganacos under SIREN 821 748 126, created on 25 July 2016, with headquarters in Nantes and “édition de logiciels” as its NAF code.¹ Pappers, which aggregates official filings, confirms the company form (SAS) and lists successive legal events: capital changes, address updates, and a 2021 governance reconfiguration that placed Antoine Guéguen as President and Ludovic Giraud as Directeur Général.²

The latest available annual accounts (2024) show a positive net result (around €344k) allocated to “autres réserves” and a cash balance in the hundreds of thousands of euros, implying a self-sustaining operation rather than one reliant on continuous external funding.¹⁰ This aligns with the absence of publicly reported venture rounds.

On ownership, the record is murkier. PitchBook describes Ganacos as having been “acquired by DataValue Consulting,”¹⁵ but no official Ganacos press release or regulatory disclosure corroborates this. What is clear is that DataValue Consulting and its subsidiaries were taken over by Mazars in 2023,¹⁶¹⁷ which could imply that any Ganacos shares held by DataValue might now be indirectly under Mazars’ umbrella. However, since neither Mazars nor Ganacos has explicitly stated that Ganacos is part of the Mazars group, treating Ganacos as a Mazars asset would be speculative. The safest, evidence-based posture is to flag the acquisition claim as unverified and continue to regard Ganacos as an independent editor unless further documentation emerges.

Product: functional coverage and positioning

Supply chain planning (S&OP, demand & supply, production)

The supply chain-focused part of Ganacos is packaged as a S&OP / supply planning solution that supports:

Sales & Operations Planning (S&OP / SOP) cycles
Demand and supply planning
Load/capacity balancing
Master Production Schedule
Net Requirements Planning
Gantt-style visualizations and other scenario views.³¹⁸

Vendor pages highlight that planners can ingest data from sales, supply, and production functions and assemble cross-functional plans in one environment, reducing manual reconciliation across spreadsheets.³⁴ The stated goal is to help companies “manage complex scenarios” while keeping the interface accessible to non-technical users.³¹⁸

Third-party directories back up this picture. Capterra lists Ganacos under categories such as Sales Forecasting, Supply Chain Management, and EPM, and highlights features like demand forecasting, Monte Carlo simulation, and scenario planning.⁷ Software Finder likewise positions Ganacos as a cloud platform that streamlines S&OP and financial planning through collaborative dashboards and data-driven decision-making.⁸ These descriptions are marketing-level and not technically deep, but they are consistent with Ganacos’ own claims.

Financial planning and EPM/FP&A

On the finance side, Ganacos describes itself as an EPM / FP&A platform enabling:

Budget creation and revision
Forecasting and financial scenario modeling
Periodic reporting and performance tracking at group, subsidiary, and site level.⁴⁵

The emphasis is again on collaboration and single-source-of-truth data: finance teams and operational teams operate on the same underlying model, which is intended to avoid the usual disconnect between operational plans and budgets.⁴⁵ Partners such as Next Decision underscore this angle, describing Ganacos as a digital transformation tool that allows rapid deployment of S&OP and financial planning applications with strong maintainability.⁶

External reviews on SoftwareWorld and similar directories support the idea that Ganacos is frequently used as a budgeting and forecasting system, especially by SMBs and mid-sized organizations seeking to move away from Excel-based FP&A while preserving modeling flexibility.⁹

Commercial model and deployment

G2’s pricing overview indicates that Ganacos is sold on an annual SaaS subscription basis, with pricing dependent on:

Activated functional modules (e.g., S&OP, EPM, FP&A)
Number and type of users
Implementation and training effort, billed as a project.¹⁹

This is consistent with partner descriptions that talk about “rapid deployment” and “flexible implementation,” suggesting a configuration-heavy but code-light roll-out typical of mid-market planning tools.⁶

Architecture and technology stack

Tech stack from engineering-facing sources

Ganacos is unusually transparent about its stack on its Welcome to the Jungle profile. There, the engineering team lists:

Backend: Java as the main language; MySQL and MariaDB for relational storage.
Frontend: historically AngularJS, with an ongoing migration to React; extensive use of TypeScript, Handsontable (grid), and Highcharts (charts).
DevOps/CI: Docker, Linux, Bitbucket (and Pipelines), TeamCity, SonarQube; Playwright for end-to-end testing.
Computation: a proprietary calculation language named “Chulengo” used for modeling and computations over the platform’s datasets.
A rough data scale of “~250 million values per client” as a typical order of magnitude.²²

This stack is firmly in the mainstream of enterprise web applications. Java + relational database is a conservative and reliable choice; AngularJS is now end-of-life, so the migration to React is essentially modernization work.²² The presence of Docker, CI pipelines, and automated testing indicates a reasonably modern development workflow, but there is nothing inherently state-of-the-art in the core stack itself — it is a conventional multi-tier SaaS architecture.

Additional circumstantial evidence comes from a public GitHub account associated with a Ganacos engineer, which contains forks of AngularJS Material + Vite templates and Playwright configurations, aligning with the tech-stack description on Welcome to the Jungle.²²

Platform mechanics and deployment model

Public-facing Ganacos materials describe the platform as:

Cloud-native SaaS, accessed via a browser
Backed by a unified data model
Designed for “collaborative planning,” where different functions share the same data and calculation engine.³⁴⁶

The core of the platform is the Chulengo language, which appears to be a domain-specific calculation layer that expresses formulas and transformations across large tables of data (e.g., aggregations, time-series shifts, scenario-specific parameters).²²⁴ In practice, Chulengo plays a role similar to a high-end spreadsheet formula engine or EPM calculation script language: it is more expressive than raw cells, but it is not documented publicly as an optimizer or probabilistic modeling language.

From deployment materials and partner descriptions, roll-out typically involves:

Data integration from ERP, databases, and spreadsheets via imports and connectors.³⁴⁶
Model and scenario configuration in Chulengo and via UI, often with assistance from Ganacos or partners.
User training on collaborative workflows and scenario usage.

There is no publicly available technical documentation describing multi-tenancy implementation, SLAs, or certifications; the only explicit security mention on the platform page is a generic “security label” for the Ganacos platform.⁴ As such, one can say with confidence that Ganacos is delivered as a SaaS planning platform, but deeper architectural details (event sourcing, advanced caching, strong consistency guarantees, etc.) are not visible.

AI, machine learning, and optimization claims

Ganacos uses AI-related terminology sparingly but prominently where it appears. The most concrete references are:

A Carrefour S&OP article in Supply Chain Magazine describing how the retailer uses Ganacos’ EPM solution as its S&OP tool, with “Ganacos AI” used to establish forecasts that planners then enrich.¹¹
A profile in a CentraleSupélec alumni publication which notes that Ganacos has worked on a product called “Ganacos AI” for at least six months and that it plays a role in S&OP forecasting implementations (again, Carrefour is cited).²⁵

These pieces confirm that “Ganacos AI” is more than a marketing slogan: it is the label applied to some automated forecasting functionality in live projects. However, no public material explains:

What model families are used (classical statistical models, machine learning, deep learning, or hybrids).
How uncertainty is represented (quantiles, full distributions, simple confidence intervals, or none).
How forecasts are evaluated and backtested.
Whether and how forecasts link to automated optimization of decisions.

Software directories sometimes list features such as Monte Carlo simulation and machine learning in Ganacos’ feature set,⁷ but these are check-boxes, not technical disclosures. There is no technical whitepaper, open-source code, benchmark, or academic collaboration in the public domain that would allow an independent assessment of the underlying AI stack.

From an evidence-based standpoint, the safest conclusions are:

Ganacos does offer automated forecasting and labels some of it “Ganacos AI,” which is in active use at large clients such as Carrefour.¹¹²⁵
The available information does not allow us to classify these methods as state-of-the-art or otherwise; they could range from well-tuned classical time-series models to more advanced ML.
There is no public evidence that Ganacos’ platform implements advanced probabilistic forecasting (full distributions) or sophisticated stochastic optimization comparable to vendors that publish detailed technical treatments.

In other words, the AI label here is real in usage but weakly evidenced in technical depth.

Client base and reference cases

Named and independently corroborated clients

A critical part of assessing any planning vendor is the presence of named, verifiable customers. For Ganacos, independent sources identify:

Carrefour – Supply Chain Magazine reports that Carrefour adopted Ganacos’ EPM solution as its S&OP tool for private-label business, with implementation starting in early 2024. The article describes how “Ganacos AI” forecasts are used as the starting point for planner-enriched plans.¹¹²⁵
Showroomprivé – Another Supply Chain Magazine article details how the e-commerce player moved from Excel-based S&OP to Ganacos, emphasizing better coordination and performance after a year of use.¹²
Symrise Pet Food – Regional industry association Bretagne Supply Chain organized a site visit and webinar titled “Structurer un S&OP performant avec Ganacos,” hosted at Symrise Pet Food, which implies an active deployment there.¹³

These references are independent of Ganacos’ own website and explicitly name both the client and the vendor, making them strong evidence of real-world use.

Vendor-asserted references

Ganacos’ own website and whitepaper landing pages list several additional client names and use cases, including Minakem and Séché, but these are not independently corroborated by external sources.⁴⁶ Such references should be treated as vendor claims, not as verified evidence.

Sector and geographic profile

Based on the independent references above, Ganacos appears in:

Grocery retail (Carrefour, France and Europe)¹¹²⁵
E-commerce retail (Showroomprivé)¹²
Pet food manufacturing (Symrise Pet Food)¹³

All of these clients are based in Europe, with a strong French bias. This fits with Ganacos’ size and location: a French editor primarily addressing European mid- to large-sized firms, rather than a global multi-region footprint.

Limitations, discrepancies, and open questions

A rigorous assessment of Ganacos must also highlight where evidence is missing or ambiguous:

Founding vs incorporation date
Press narratives sometimes imply a 2015 founding date, but official registries show incorporation in 2016.¹² This is minor but worth noting for precision.
Acquisition status
PitchBook’s assertion that Ganacos was acquired by DataValue Consulting is not supported by any official statements from Ganacos, DataValue, or Mazars.¹⁵¹⁶¹⁷ Given DataValue’s subsequent takeover by Mazars, it is tempting to assume Ganacos is now under Mazars, but the absence of explicit confirmation makes this speculative. It is more rigorous to treat ownership as unclear.
Depth of AI/ML and optimization
“Ganacos AI” is documented as being used in forecasting at Carrefour and discussed in a CentraleSupélec alumni piece,¹¹²⁵ but there is no technical breakdown of models, learning processes, or performance. Without such documentation, one cannot fairly call the AI stack “state-of-the-art”; it is best described as opaque but in real production use.
Platform internals and guarantees
Beyond the tech stack summary and functional descriptions, key architectural aspects remain undocumented publicly: multi-tenancy model, data isolation mechanisms, SLAs, performance guarantees, and security certifications. For many mid-market clients this may be acceptable, but for highly regulated or risk-averse organizations this gap matters.
Scale and resilience of the vendor
Ganacos’ small headcount and modest financial scale imply a lean operation.²¹⁰¹⁴ This can be a strength (focus, agility) but also introduces vendor risk for large enterprises that typically prefer vendors with larger support and R&D organizations.

Conclusion

Ganacos is a small but commercially active French planning vendor that provides a unified SaaS platform for S&OP, supply planning, and financial planning/FP&A. Its strongest, well-evidenced characteristics are:

Integration of operational and financial planning in a single, spreadsheet-like environment.
A proprietary calculation language (Chulengo) sitting behind a collaborative grid UI, allowing non-technical teams to build and run scenarios over shared data.
Real deployments at recognizable European firms (Carrefour, Showroomprivé, Symrise Pet Food), especially in S&OP contexts.
A conventional but solid technical stack (Java + relational DB, AngularJS migrating to React, Docker-based CI/CD).

By contrast, the limits of public evidence are equally important:

AI/ML capabilities, marketed as “Ganacos AI,” are in productive use but not technically documented; there is no public basis to judge whether they are merely competent or genuinely advanced.
There is no visible documentation of formal optimization algorithms for translating forecasts into optimal decisions; the platform appears more focused on modeling and simulation than on mathematically grounded decision optimization.
Ownership status (e.g., any relationship with the Mazars group) remains unclear in official sources.

Compared with Lokad, Ganacos occupies a different niche. It is best seen as a collaborative planning canvas that helps mid-sized firms harmonize operational and financial plans, whereas Lokad is a programmatic optimization engine centered on probabilistic forecasting and stochastic optimization for supply chain decisions.²⁰¹⁸²³²¹²⁴ The choice between them is not simply about features but about philosophy: Ganacos keeps planners in the driver’s seat, using simulations and scenarios to support their judgment, while Lokad pushes harder toward automated, financially optimized decision recommendations under quantified uncertainty.

For organizations evaluating Ganacos, the key questions should therefore be:

Do we primarily need an integrated, collaborative planning environment for S&OP and FP&A, with moderate automation, or do we need deeply optimized, uncertainty-aware decision engines?
Are we comfortable with opaque AI internals as long as the tool behaves well in practice, or do we require transparent, technically documented algorithms?
Is a small but focused French vendor, with credible local references, an acceptable risk profile for our scale and geography?

Given the available public evidence, Ganacos can be characterized as a competent, niche planning platform whose strengths lie in multi-domain modeling and collaborative planning, but whose AI and optimization depth remain difficult to assess from outside.