AI Revolutionizes Food Distribution for SMEs

AI: An Essential Tool for the Future of Agri-food SMEs

In the near future, the use of artificial intelligence (AI) in businesses will be as essential as the use of emails or management software is today. This change is already underway, and France has recently announced a massive investment of 655 million euros to support the development of AI. This strong gesture underscores the growing importance of this technology across all economic sectors, including agri-food distribution.

The agri-food sector, while undergoing a digital transition, faces major challenges such as inflation, rising operational costs, and increasingly fierce competition. In this context, AI not only offers a price-based competitive advantage but also becomes a crucial lever for improving execution speed and productivity.

The Urgency of Avoiding Competitive Disengagement

In the agri-food supply chain, every second counts. Products, often perishable, require just-in-time management to meet orders from restaurateurs. Orders are often placed late at night, necessitating preparation and delivery by dawn. This frantic pace is prone to errors and significant time loss, thereby reducing the time available for business development and customer service.

Large companies have already recognized these challenges and are investing in automation to address labor shortages and margin pressures. For small and medium-sized enterprises (SMEs), the real danger lies in the accumulated delay if they do not quickly engage in the adoption of AI.

AI: A Gradual Journey Rather Than an Instant Revolution

Contrary to the widespread notion of a radical transformation, the integration of AI into businesses generally occurs in stages. The first step involves digitizing information flows. Orders received through various channels such as phone, SMS, or email are centralized and integrated into business tools, thereby reducing data entry time and ensuring reliable data.

Next, this digitized data allows for a better understanding of purchasing behaviors, recommending complementary products, and personalizing offers. The goal is not only to save time but also to increase revenue.

The third step aims to improve profitability. Data helps guide customers toward more profitable products, optimize assortments, and adjust prices to minimize costs related to errors or stockouts.

Finally, the most advanced companies reach a phase of intelligent automation. AI is no longer limited to data analysis; it actively assists teams by preparing quotes, suggesting commercial actions, detecting anomalies, and anticipating customer needs.

Data: A Strategic Asset for Distributors

This progression highlights the crucial importance of having quality data. Companies that continue to manage dispersed information deprive themselves of the essential raw material needed to leverage AI. In contrast, those that structure their data today equip themselves with a competitive advantage that is hard to bridge.

The challenge goes beyond automating administrative tasks. It is about building a data asset that will enable better decision-making, provide superior service, and enhance competitiveness.

AI: A Necessity Rather Than a Choice

Artificial intelligence will not replace the human skills in the sector. An experienced salesperson who knows their clients well will always retain invaluable worth. However, it is no longer justifiable for that same salesperson to spend hours on repetitive tasks such as order entry.

AI should be viewed as an industrial tool, comparable to ERP or CRM systems from previous decades. In a few years, not using AI will be as incongruous as managing a business without email today.

SMEs now have a unique opportunity to access technologies that were once reserved for large companies. The tools are available, and adoption costs are rapidly decreasing. The gap is no longer widening between large and small businesses, but between those who adopt AI now and those who delay.

The companies that will succeed tomorrow will not be those that replace their employees with AI, but those that manage to enhance their efficiency through it.