
Pricing Software Comparison
The Same AI Ambition. A governance model designed for pricing teams, in the face of a transformation led by senior management.
Both Yieldigo and BOOPER rely on artificial intelligence to manage retail pricing. But Yieldigo, based in Prague (Czech Republic) and founded in 2016, primarily targets the senior leadership of major international corporations (CEOs, CCOs, CIOs). BOOPER, an independent French software company founded in 2014, caters to pricing teams that want to maintain control over rules and approvals on a day-to-day basis.
| Criterion | Yieldigo | BOOPER |
|---|---|---|
| Year Founded | 2016 | 2014 |
| Founders | 3 mathematicians (including David Klecka) | Hugues Lafitte |
| Status (2026) | Independent publisher, venture capital | Independent publisher specializing in pricing |
| AI Approach | ML Models: Demand Forecasting, Customer Behavior, Price Elasticity | AI + business rules since 2014—well before the rise of generative AI—with an “AI Explanation” section for each recommendation. Models validated by leading retail brands |
| Product Modules | Pricing Optimization, Management-Led Coordination | GENIUS Price, Link, Predict, Promotions, RT, Negotiations, Monitoring, Admin + AI Center |
| Governance / Workflows | Not publicly disclosed | Rights, Validations, Traceability (dedicated module) |
| Geographic Presence | Prague (Czech Republic), customers in the EU and Russia | France, Poland, Vietnam, Thailand |
| Sectors Served (Client Examples) | International retail chains and FMCG companies, not publicly named | GSA, GSB, GSS, B2B — mass retail, home improvement, garden centers, multi-brand retailers |
| Client companies mentioned publicly | Metro, Makro, Colruyt, Auchan, Ahold, SPAR, Newpharma | Coopérative U, Lapeyre, Kingfisher (Bricomarché, Bricorama), Advitam Group (Jardiland), Castorama, Central Retail Vietnam, Créo Group in the Caribbean |
| Pricing Model | Custom quotes based on size and scope | Modular Pricing Platform (MPS) |
| Deployment | Not publicly disclosed | < 3 mois selon la qualité des données et la complexité du projet (nombre de magasins à déployer, stack technique, SI…), avec consultant et chef de projet dédiés, formations et accompagnement au changement |
Yieldigo explicitly targets senior leadership—CEO, CCO, CIO—rather than operational pricing teams, using an ML model that combines demand forecasts, customer behavior, and price elasticity. This approach makes sense for a transformation led by the senior leadership of a large international group. For a pricing team that wants to retain day-to-day control over rules and approvals, the key question is what level of control is left to the operational staff.
At BOOPER, AI explainability isn’t just a marketing gimmick: every recommendation from GENIUS Predict comes with an “AI Explanation” block that lists the factors taken into account, with Conservative, Balanced, and Aggressive scenarios for teams to choose from. The simulations measure the impact of a price change on both sales and inventory—not just on the reported margin. The final decision remains in the hands of the business teams through GENIUS Admin’s validation workflows; it is not automated behind the scenes.
BOOPER is designed to be used on a daily basis by the pricing teams themselves, not just managed by senior management.
Each recommendation is accompanied by an “AI Explanation” section detailing the factors taken into account—the final decision remains with the business teams.
Pricing rights, validation rules, and traceability are designed to manage pricing across an entire network, as is the case with Coopérative U (1,700+ stores).
More than 30 client brands have been publicly mentioned in France, Poland, Vietnam, and Thailand, even though Yieldigo does not disclose any client names on its website.
While many people have only recently discovered AI since the launch of ChatGPT, BOOPER has been designing and refining its pricing models since 2014, models that have been validated by major retail chains. A new version incorporating conversational and generative AI is scheduled for release in Q3 2026.
BOOPER provides solutions for retail chains such as Coopérative U, managing several million prices each year across more than 1,700 stores.
Kingfisher Group (Castorama, Brico Dépôt), Bricorama, Bricocash, Bricomarché, and Gamm Vert are among the brands receiving support.
Barbotteau Group in the French Caribbean, Groupe Creo in Réunion, Mega Market and Go! in Vietnam: BOOPER also operates outside of metropolitan France.
Regulated drug margins, competitive prices for over-the-counter products: BOOPER enables pharmacy chains to manage both pricing strategies on a single platform.
Yieldigo mentions clients in the international retail and FMCG sectors, without naming them publicly.















Yieldigo primarily targets large international corporations, with management oversight at the executive level (CEO, CCO, CIO). For a more operational pricing team, the level of day-to-day control is an issue that should be addressed in advance.
BOOPER has been an independent pricing-specialized software provider since 2014, offering explainable AI and governance tailored to operational teams. Yieldigo, based in Prague, focuses on transformations led by the executive management of major international corporations.
The choice depends on the level of control desired: Yieldigo is designed for the executive leadership of large corporations seeking large-scale ML transformation. BOOPER is designed for pricing teams that want to retain control over rules and validations on a day-to-day basis, using explainable AI.
Yieldigo targets international retail and FMCG (EU, Russia), without publicly naming its clients. BOOPER documents its case studies in French retail (Coopérative U), home improvement (Kingfisher, Castorama), and international networks (Vietnam, Thailand, French Caribbean).
Yes: BOOPER works with retailers in Poland, Vietnam (Mega Market, Go!), and Thailand, in addition to having a strong presence in metropolitan France and the French Caribbean (Barbotteau Group).
Each recommendation from GENIUS Predict is accompanied by an “AI Explanation” section that details the factors taken into account, with Conservative/Balanced/Aggressive scenarios for teams to choose from—the final decision remains with the business teams.
It only takes 15 minutes to identify your challenges and see if BOOPER can address them.
Let's discuss your pricing challengesBOOPER.FR