The Hidden Cost of Optimizing E-Commerce One Decision at a Time
Companies today have more data, more sophisticated technology, and more ways to optimize commerce than ever before. So why is profitable growth getting harder?
One reason is that the context surrounding every commercial decision has become extraordinarily complex and increasingly dynamic. A competitor changes price. Inventory tightens. An advertising campaign creates new demand. A promotion changes conversion. Organic rank moves. Any one of those changes can alter what the right advertising, pricing, inventory, or promotional decision should be at that moment. And every action the business takes can change that context again.
Yet most commerce systems weren't designed to understand that full picture. They optimize individual decisions based primarily on the signals within their own domains.
That's where what I call the Disconnection Tax (the value lost when decisions are made without seeing how the broader commercial context is changing or how one decision changes what should happen next) comes into play.
Sometimes that cost is wasted advertising spend or lost margin. Sometimes it's missed revenue because demand emerges and the business isn't positioned to capture it. And sometimes the cost shows up in the customer experience, when a shopper responds to a promotion only to discover the product is out of stock, sees inconsistent pricing across channels, or encounters an offer the business isn't operationally prepared to fulfill.
In each case, the individual decision might have made perfect sense. The problem is that it was made without understanding how conditions elsewhere in the business might have changed as well.
Modern commerce doesn't operate as a collection of independent functions. A pricing decision changes conversion. Conversion changes advertising economics. Advertising changes inventory velocity. Inventory availability changes what a business should be willing to spend to create additional demand. Promotions can affect all of them at once.
Yet most organizations still evaluate and optimize these decisions separately.
The challenge isn't simply connecting organizational silos. It's maintaining enough shared commercial context to understand what has changed, what that change means for the business, and how one decision changes what the business should do next.
Enter Commercial Agentic AI
Much of the public conversation about AI in commerce has focused on the consumer: AI shopping assistants that help people discover, compare, and ultimately purchase products. But an equally important transformation is happening inside the business.
For years, AI has been used to make individual functions smarter. Advertising algorithms optimize bids. Pricing engines adjust prices. Forecasting systems predict demand. Each can make increasingly sophisticated decisions within its own domain.
The next evolution is not simply making each of those systems faster or more intelligent. It's giving them the shared context to understand how conditions are changing, how those changes affect one another, and what the business should do next.
Consider a competitor going out of stock. Demand might begin shifting almost immediately. Your conversion rate improves, organic rank starts moving, and suddenly the economics of advertising, pricing, promotions, and inventory have all changed.
Should you spend more aggressively to capture the available demand? Do you still need the promotion you had planned? Can you hold price? And does inventory need to adjust for accelerating velocity?
Those aren't four separate optimization problems. They're different consequences of the same market event. But the decisions don't end there. They change the context again.
If the business increases advertising to capture the available demand, inventory might begin moving faster than expected. If a planned promotion launches at the same time, the business could accelerate demand further while unnecessarily giving up margin. As inventory tightens, the economics of advertising change again.
The optimal decision is therefore not static. It depends on understanding the commercial context at that moment, acting on it, and then recognizing how that action has changed the context for the next decision.
This is where agentic AI has the potential to fundamentally change how commerce operates. Rather than asking only, "What is the optimal bid?" or "What is the optimal price?", an agentic system can reason across the broader commercial context and understand how one decision changes the conditions for the next.
But AI alone doesn't eliminate the Disconnection Tax. Layering more intelligent technology onto disconnected data, objectives, and workflows can simply automate disconnected decisions faster.
The real opportunity is to give AI the shared context to reason across advertising, pricing, promotions, inventory, competitive activity, and demand, and continuously adapt those decisions as conditions change. Ultimately, those decisions should roll up to the outcome that matters most to the business as a whole: contribution margin.
CRM's Next Competitive Advantage
Customer interactions are increasingly shaped by pricing moves, inventory availability, advertising visibility, promotions, fulfillment speed, and marketplace algorithms operating simultaneously. But customers don't experience a company's organization chart. They experience one brand. They don't distinguish between the team that served the ad, the team that set the price, the team that planned the promotion, or the team responsible for having the product in stock. They simply know whether the product they wanted was visible, available at the price they expected, delivered when promised, and worth buying again.>
Yet behind that single customer experience, many businesses still make those decisions independently.
Meeting that expectation requires the business to understand the customer and the commercial context with the same continuity with which the customer experiences the brand. Technology is an important part of that shift, but technology alone cannot eliminate the Disconnection Tax. Organizations also need metrics, incentives, and workflows that encourage decisions to be made against shared business outcomes rather than isolated functional goals.
For CRM leaders, that expands the definition of customer intelligence. Understanding the customer is no longer enough if the business can't connect that understanding to the decisions that shape the experience they actually receive.
The companies that continue optimizing advertising, pricing, promotions, and inventory independently might become increasingly sophisticated at each while still leaving revenue, margin, and customer value on the table. Those that coordinate these decisions around contribution margin will likely discover something increasingly rare: Growth that actually becomes more profitable as it scales.
The real competitive advantage is making every commercial decision as though the business were one connected system rather than a collection of disconnected departments. The customer already experiences the brand that way. It's time the business did too.
Dani Nadel is president and chief operating officer of Feedvisor.