16 Jul 2026
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Why Italian Retail Is Growing at Two Speeds

Recent Istat data shows a retail market split in two: e-commerce and large-scale retail growing while traditional channels lag. How to rebuild your channel mix with a method, not a hunch.

Every company that sells through a distribution network, direct or indirect, B2B or B2C, carries a mental map of which channels "work." That map was built over years, often by inertia: keep investing where you've always invested, keep working with the same distributor you've had for a decade, keep renewing the same mix of points of sale. The problem is that the ground under that map is shifting faster than the map gets updated.

What the numbers actually say

Istat's retail trade data published throughout 2026 tells a consistent story, month after month. In May, compared with the same month in 2025, sales grew in value across nearly every distribution format, but sales volume rose only for large-scale retail (+1.0%) and, far more sharply, for online commerce (+12.1%), while sales outside traditional stores fell 2.1% in value and 6.8% in volume.

This isn't an isolated episode. In February, e-commerce posted an +8.3% year-on-year gain, the largest positive swing among all distribution formats tracked, while physical retail found itself in a dynamic where revenue rose but the volume of goods actually sold fell. March repeated the pattern: online continued to grow at double digits, pulling sharply ahead of traditional distribution formats, at roughly three times the growth rate of large-scale retail. Even January showed a similar picture: a strong increase for large-scale retail (+4.1%) and e-commerce (+4.6%), modest growth for small-surface retailers (+0.2%), and a decline for out-of-store sales (-1.7%).

The signal, repeated for months, is clear: the Italian market is splitting into two speeds. On one side, the channels that capture scale, logistics and purchase convenience: online and large-scale retail. On the other, neighborhood retail and out-of-store sales, which hold up in value but keep losing ground in real volume.

Why this matters beyond retail

It's tempting to read this as a retail-only story in the narrow sense. It isn't just that. Any company that relies on a network of distributors, agents, resellers or commercial partners to reach the end customer is living through the same dynamic, even if the Istat figures don't apply to it directly. A B2B manufacturer selling through regional wholesalers, a software company routing through a reseller channel, a brand distributing through both physical stores and marketplaces: all of them face the same question of where to concentrate budget, commercial attention and service capacity, while legacy channels stop paying off the way they used to.

The question most sales and channel leaders are actually asking right now isn't whether to invest more in digital (the data has already answered that), but how to do it without dismantling distribution relationships that still carry real value, and without discovering two quarters from now that they defunded the wrong channel.

The risk of deciding by inertia

The most common temptation, faced with signals like these, is to swing to extremes: slash spending on declining channels outright, or chase online growth without first redefining that channel's margins, service model and cost structure. Both choices share the same flaw: they're decisions made on the back of the latest data point, not on a stable criterion.

A resilient channel mix is built by looking at three things together: the real net value each channel generates, once acquisition cost, service cost and true margin are subtracted (not just gross revenue); the reversibility of the choice, meaning how costly it would be to walk it back if a growing channel slowed down; and the speed at which you can detect that a channel is losing momentum, before the next quarter's numbers confirm it for you.

What this means for leadership

For management, the stakes go beyond commercial performance. A split of this kind puts pressure on how the organization allocates capital, time and accountability. Reworking the channel mix often means redesigning incentives for the sales network, renegotiating agreements with longstanding partners, and reallocating budget across functions that rarely share the same success metrics. It's a decision that cuts across sales, marketing and finance at once, and it requires a shared language around the numbers, not three different versions of the same truth.

There's also a question of governance speed. Companies that only react once the closed quarter confirms the trend are structurally one or two decision cycles behind those who spot the signal as it forms. For a board or an executive committee, this means shifting from meetings that comment on past results to sessions that weigh future scenarios, with intervention thresholds set in advance rather than decided under pressure.

Rebuilding the mix with a method, not a hunch

The companies handling this transition best aren't simply "leaning into digital." They're comparing alternative allocation scenarios before deciding, quantifying the expected impact of each channel-investment combination instead of defaulting to habit. They're monitoring the early signs that a channel is faltering as they emerge, not after the quarter closes. And above all, they're learning to justify every channel decision with a number (an expected return, a net margin, a risk threshold) rather than a feeling.

This isn't a decision to make once and forget. It's a decision being made every day, either explicitly or by default. The only question is whether you're the one making it, or whether the market is making it for you.

Where AI fits into the decision

This is where artificial intelligence applied to decision making processes starts to make a concrete difference, on both the sales and marketing sides. On the commercial side, it can estimate the real net value of every channel and every deal, set discount thresholds and portfolio priorities on verifiable economic grounds rather than established habit, and flag which customer or channel segments are losing margin before the numbers confirm it after the fact. On the marketing side, it allows teams to compare alternative budget allocation scenarios before committing spend, detect in real time when a campaign or channel is underperforming, and connect every euro invested to a return that can be estimated and tracked.

The advantage isn't replacing the judgment of the person deciding, but giving that judgment firmer ground to stand on: fewer choices made out of habit, more choices that can be explained with a number, well before they can be explained by a result.