WITSIDE participated in the Food & Retail Conference 2026, organized by Boussias Events, bringing together key stakeholders from across the Food & Beverage and Retail industry in Greece.
The event highlighted the increasing complexity of the industry, shaped by shifting consumer behavior, supply chain disruptions and growing pressure for efficiency and profitability.
In this environment, data-driven decision-making is essential.
A Data-Driven Approach by WITSIDE for the FMCG & Retail Industry
As part of the conference agenda, Apostolos Ziovas, CPG & Retail Specialist at WITSIDE, delivered a presentation titled:
“Data-Driven Decisions across the Food & Retail Value Chain”
The session focused on how organizations can move beyond fragmented data and manual processes, and instead leverage integrated, AI-powered analytics to drive better, faster and more impactful decisions.
Addressing the Industry’s Key Challenges
During the presentation, key challenges faced by Food & Retail organizations were highlighted:
- Demand Forecasting Complexity: Increasing volatility and external factors make accurate forecasting more difficult than ever.
- Out-of-Stock & Availability Issues: Lack of real-time visibility leads to missed sales opportunities and customer dissatisfaction.
- Inefficient Trade Promotions: Limited insight into performance results in suboptimal allocation of budgets.
- Fragmented Data Landscape: Disconnected systems prevent a unified view of performance across the value chain.
In such an environment, relying on intuition or siloed analysis is no longer sufficient.
Enabling Smarter Decisions with Data & AI
WITSIDE’s approach focuses on transforming data into actionable, business-driven insights across the entire value chain:
- End-to-End Visibility: Consolidating data from multiple sources into a single, unified view
- AI-Powered Forecasting: Improving demand predictions and reducing uncertainty
- Promotion Optimization: Evaluating and predicting the effectiveness of trade and media activities
- Scenario Simulation: Enabling “what-if” analysis to support proactive decision-making
By combining advanced analytics with business context, organizations can move from reactive to proactive and predictive decision-making.
Driving Real Business Impact
The ability to turn data into decisions translates directly into measurable business outcomes:
- Improved forecast accuracy and inventory optimization
- Reduced out-of-stock incidents and increased product availability
- Higher return on promotional investments
- Faster, more confident decision-making across teams
Ultimately, data becomes a strategic asset.
Looking Ahead
The discussions at the Food & Retail Conference 2026 confirmed a clear direction for the industry:
Organizations that succeed will be those that can effectively leverage data, embrace AI and operationalize insights at scale.
At WITSIDE, we continue to support businesses in this journey, helping them transform their data into meaningful impact.
Interested in learning how your organization can optimize decision-making across the value chain?
