Our B2B Legacy

For more than two decades, we have supported Retailers and FMCG companies with high‑precision price collections, market intelligence, and price‑optimization modeling (SaaS).   Our work has consistently enabled more accurate costing, and competitive positioning, as well strategic decision‑making across pricing and category management.

As a Six Sigma–driven organization, we have built our reputation on operational rigor and data integrity.
Our auditors have collected yearly millions of price and promotion data points in brick and mortar stores using proprietary mobile apps s/w, barcode‑scanning tools, and structured audit workflows with 10 different pricing applications.

To ensure unmatched accuracy, we developed a unique Oracle‑based error‑cleaning system, namely, Phoivos Apollo, with more than 15 calibrated for each case criteria, reducing residual errors to below 3 ‰. Any remaining anomalies (outliers etc.) were resolved through a structured second complementing store audit, ensuring data quality suitable for advanced analytics and AI today.

Our methodologies also allow us to define extended marketing areas, beyond area‑code boundaries, enabling thus more realistic competitive clusters and more precise pricing and category‑management strategies.

We have applied advanced Price Optimization models (with KSS Retail, US) tailored to each client’s business rules, elasticities, assumptions, and commercial objectives. Our market‑intelligence programs include planogram audits, promo‑strategy tracking, and e‑shop index monitoring (e.g., R&R), supporting Category Management teams with reliable, actionable insights.

This foundation has helped organizations such as Carrefour, P&G, BP, Dixons, Oral B, Vodafone, and others (with Roamler, NL) to transform complex market signals into clear pricing and assortment strategies.

Today we are helping clients to improve their pricing, Brand Intelligence and operational processes, and at the same time, assimilating Generative AI while exploring the emerging potentials of Agentic AI. We approach AI adoption with pragmatism: grounded in measurable returned value, aligned with existing workflows, and respectful of the legitimate concerns of skeptical stakeholders, in an unsettled Greek market.