FMCG Sales Forces in 2026: How AI and KPIs Are Transforming Field Operations

17/08/2026
14:40

reading time : 2 min

Lucie Monnot

Content Marketing Manager

The large-scale retail sector, or FMCG retail, is undergoing major changes.

Between performance pressures, increasingly complex customer journeys and the emergence of artificial intelligence, field sales representatives must rethink their methods to remain effective.

According to Nomadia, FMCG sales forces are currently experiencing overall staffing stability, but their practices and tools are evolving rapidly.

This article explores the main trends for 2025, best practices for 2026 and how KPIs and AI can transform every visit into a genuine growth lever.

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Stable operating models and differences between SMEs and large groups

Data provides the “what,” but human relationships determine the “how.”

A department manager who is under pressure will not listen to a stream of figures unless they are presented concisely and linked to their own business benefits.

Contrary to some assumptions, the number of sales representatives in FMCG retail is not collapsing.

60% of organizations reported stable staffing levels in 2025.
77% expected staffing levels to remain stable in 2026.

However, this overall stability hides important differences.

SMEs

Teams remain dynamic, with portfolios of 150 to 200 stores and more limited resources for analyzing data.

Agility and proximity to points of sale remain their main strengths.

Large groups

Territory managers generally manage 30 to 40 stores, with access to sell-out data, market share figures, stockout rates and merchandising support.

Their strength lies in detailed analysis of the figures and strategic planning.

Good to know 🔎

These two models coexist in the French market today, with each addressing different challenges and levels of organizational maturity.

It is therefore essential to clearly identify your position, whether you are an SME in the process of structuring its operations or a large group with established processes.

This clarification will help you adapt your working methods, select the most relevant tools and define KPIs that are genuinely aligned with your strategic objectives.

By taking your organization, resources and level of complexity into account, you can optimize team performance and efficiency over the long term.

Daily visits: the average versus field reality

The national average is 4.8 visits per day. However, this figure needs to be put into context.

SMEs: 5 to 6 visits per day, thanks to simpler portfolios.
Large groups: 3 to 4 visits per day, with 100 to 200 product references to analyze.

The time spent in stores therefore depends directly on portfolio complexity and the number of product references.

Each visit costs the company approximately €120 to €150, making intelligent planning a strategic priority.

Definition
An “unproductive visit” is a visit during which no concrete objective is achieved, resulting in a loss of efficiency and return on investment.

Hybrid visits: the drive-through case

The source repeats the same content as the previous section:

The national average is 4.8 visits per day. However, this figure needs to be put into context.

SMEs: 5 to 6 visits per day, thanks to simpler portfolios.
Large groups: 3 to 4 visits per day, with 100 to 200 product references to analyze.

The time spent in stores therefore depends directly on portfolio complexity and the number of product references.

Each visit costs the company approximately €120 to €150, making intelligent planning a strategic priority.

Definition
An “unproductive visit” is a visit during which no concrete objective is achieved, resulting in a loss of efficiency and return on investment.

Increasing objectives and field complexity

In 2025, FMCG sales representatives had to manage almost 10 objectives simultaneously, often revised every quarter.

Typical objectives included:

Implementing promotions.
Introducing new products.
Tracking product codes.

These objectives were rarely directly linked to financial results, such as revenue or market share.

The risk is a disconnect between the accumulation of objectives and actual performance.

The priority should therefore remain to turn every KPI into a concrete and relevant field action.

KPIs supporting performance

KPIs remain the universal language for managing a sales force.

Numeric distribution, or ND: the percentage of stores carrying at least one product reference.
Weighted distribution, or WD: stores weighted according to their revenue potential.
Share of shelf: the space occupied by your products compared with the total category space.
Stockout rate: the actual availability of products in stores.

Good to know 🔎

A high ND is not enough if WD is low. The sales force must prioritize high-potential stores to maximize revenue.

See how these KPIs translate into concrete field actions

AI and LLMs: from tool to strategic companion

Artificial intelligence is still not widely deployed, but expectations around it are high.

Current uses

Visual recognition of shelf layouts.
Reduced shelf-audit time.
Route plan optimization, particularly in large groups.

Field expectations

Intelligent planning: knowing where to go and what to prioritize.
Conversational assistance through LLMs: interacting with the CRM like a personal assistant to prepare every visit.

Definition
An LLM, or Large Language Model, is an artificial intelligence system capable of understanding natural language and generating relevant responses. It can be used to prepare arguments and plan commercial actions.

AI does not replace sales representatives. It complements their field experience and accelerates decision-making.

Centralized CRM: the key to success

Nomadia’s study shows that CRM is at the heart of commercial efficiency.

A centralized CRM enables:

Centralization of store-level data.
Intelligent visit preparation.
Real-time reporting.
Proactive alerts for anomalies and stockout risks.
Conversational interaction through LLMs.

The result is a more autonomous and relevant sales force that can turn data into concrete field actions.

Key lessons and recommendations for 2026

Management of franchise stores remains stable despite structural changes.
Hybrid visits are expanding significantly in drive-through and click-and-collect channels.
AI and LLMs are becoming a priority lever for 2026.
Visits should be planned using actionable KPIs, while avoiding unproductive visits.

Good to know 🔎

Centralizing data and supporting organizational change are essential for ensuring that AI and LLMs are adopted effectively by all sales representative profiles.

Nomadia Sales

The CRM for optimizing field sales force performance

Field sales excellence is a major competitive advantage in a market where customer relationships remain decisive.

With highly informed consumers and rapidly changing distribution channels, the ability to optimize every visit and maximize field sales representative presence at the point of sale is becoming essential.

Nomadia Sales transforms this approach through a CRM platform specifically designed for mobile sales forces, enabling your sales representatives to accelerate commercial performance.

Conclusion

In 2025 and 2026, the FMCG sales force remains a key strategic lever, but its effectiveness depends on the intelligent integration of data, technology and human expertise.

The main trends are:

Overall staffing stability.
Selective adoption of hybrid visits.
An increasing number of field objectives.
Growing use of AI to plan, advise and support sales arguments.

To turn every visit into a growth opportunity, sales representatives need to combine:

Strong KPI expertise.
A relationship-based approach focused on store benefits.
Intelligent technological support.

The sales force of the future will be augmented by AI and CRM, not replaced by them.

Every visit can therefore become a genuine strategic lever for both the brand and the point of sale.

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FAQ – The Most Frequently Asked Questions About Nomadia

Why Choose Nomadia?

As France’s leading publisher of Smart Mobility SaaS solutions, Nomadia supports more than 175,000 field professionals every day. Our solutions are easy to use, quick to deploy, and deliver significant and immediate return on investment.

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