The Merchant of Venice and Artificial Intelligence: How to Grow Sales Without Growing Headcount

A scoop that never happened

Venice, 1450. A merchant at the Rialto manages to triple his orders without hiring a single salesman. His secret is a primitive form of artificial intelligence.

Of course, this story never happened. But the problem it describes is real. It is probably the same problem holding back many small and medium-sized businesses today.

Picture that merchant. He imports spices from the East, fine fabrics, ceramics and goods from the Levant. His products are excellent, his prices competitive and his customers many. Yet he keeps missing opportunities. Letters go unanswered. Loyal customers stop buying and nobody notices. The warehouse is full of goods someone would want, but nobody offers them. His clerks spend their days copying ledgers and working out who bought what.

The problem is not the product. It is the organisation.

Then as now: four mistakes that cost revenue

Renaissance merchants were far from naive. In Venice itself, in 1494, Luca Pacioli published the Summa de arithmetica, which spread double-entry bookkeeping across Europe. The Tuscan merchant Francesco di Marco Datini left an archive of more than a hundred thousand business letters. It was customer relationship management before the term existed.

They kept meticulous records, but records do not work on their own. The same is true today. The difficulties that held back the Venetian merchant are the ones many companies still face:

1. You cannot reply to everyone. Requests by email, WhatsApp, phone and online portals pile up. The slowest replies often turn into lost sales.
2. Some customers get forgotten. A customer who bought every month and has been silent for three months rarely raises an alarm. Most of the time they have gone to a competitor.
3. You do not know which products to offer. Purchase history holds valuable clues about what a customer might buy next. Almost nobody reads them.
4. Staff lose hours on repetitive tasks. Copying data, preparing near-identical quotes, remembering to call back. That is time taken away from real selling.

Five centuries later: new tools, old habits

We have replaced parchment with databases and the ledger with management software. The way we work, however, has not always changed.

Many companies own a wealth of customer data and use it as a simple archive. They look things up when needed and never question it. It is like owning a library and using it as a storeroom.

Artificial intelligence changes this relationship. It is not just another piece of software. It turns a passive archive into a system that observes, alerts and acts.

How to increase orders with AI: three practical levers

1. Win back forgotten customers

Acquiring a new customer generally costs far more than reactivating an existing one. Yet reactivation is the most neglected activity in most sales teams.

An AI system can analyse purchase history and automatically spot customers whose ordering pattern has stopped. For example, it can flag a customer inactive for 90 days who used to order every three weeks. It then drafts a personalised message that the salesperson can review and send with one click.

"Hi Marco, we have new spices from the East that might interest you." A simple message, but sent to the right person at the right time.

2. Offer the right product to the right customer

Large e-commerce platforms have done this for years with recommendation systems. Today the same logic is within reach of a small business.

AI studies past purchases and finds recurring patterns: people who buy A often buy B too. On that basis it suggests complementary products, predictable reorders and new opportunities. Salespeople no longer have to remember everything. For each customer, they see the most relevant suggestions.

The result is a higher average order and a customer who feels understood, not bombarded.

3. Automate follow-ups

A customer asks for a quote and then disappears. It is one of the most common and most costly situations in B2B trade. Often the customer has not said no. Simply, nobody got back in touch.

An automated workflow can handle the whole process:

• New quote request: logged and classified automatically.
• Automatic reply: an immediate confirmation to the customer.
• Reminder to the salesperson: an alert if the quote gets no answer after a set number of days, with a follow-up message already drafted.
• Order closure: tracked, measured and analysed.

No opportunity is lost to forgetfulness again.

The potential result

What is all this worth? It depends on the starting point. A company that does no follow-up today and never reactivates inactive customers has far more room to grow than one that is already well organised. That is why universal percentages should be treated with caution.

What can be said with confidence is the direction of change:

• Fewer missed opportunities, because every request and every customer is followed up.
• Less manual work, because repetitive tasks move to the machine.
• More time for selling, the one activity that truly creates value.
• More reactivated customers, recovering revenue that seemed lost.

The practical advice is to start small. Pick a single lever, such as reactivating inactive customers. Measure the results for three months and only then expand the project. AI works best when it is built around a company's real processes, not imposed from above.

A lesson from much further back

In 1725, in Naples, Giambattista Vico published the New Science. In an earlier work he had already stated the principle that made him famous: verum ipsum factum, the true is the made. In other words, we truly understand what we are able to build.

It is a surprisingly modern idea. Artificial intelligence is not an oracle to consult. It is a tool to build, configure and understand. The companies that benefit will not be those that buy it first. They will be those that adapt it to the way they work.

Technology is not meant to replace human thinking. It is meant to free it from the tasks that stop it creating value. A salesperson who no longer has to remember a hundred deadlines has more time to listen to customers. An employee who no longer copies data has more time to solve problems.

The next commercial revolution has already begun

The Renaissance had the printing press. The Industrial Revolution had machines. Our era has artificial intelligence.

The merchant of 1450 did not have these tools. We do. The real question is no longer whether AI can help a business sell more. The question is whether we know how to use it.

Are you still counting orders, or are you building a system that generates them?

Think. Create. Automate.

Penzai — Technology at the service of people, not the other way around.