Ecommerce has given shoppers more choice than ever. But unlike in a physical store, online shoppers often have to navigate that choice without help from a knowledgeable associate.
In a dispensary, a customer can say, “I want something relaxing for tonight, but I still want to stay awake for a movie.” A good budtender can take it from there. They ask a few questions, understand the products available, narrow the options, and explain which ones are worth considering.
Online, that same shopper has to figure out how their need translates to the menu. Should they look at flower, edibles, or vapes? Which products match the experience they want? Then they still have to compare things like potency, price, brand, and available deals before deciding what to buy.
The store may have exactly the right product. The challenge is helping the customer find it.
The problem is not choice itself. It is choice without guidance. Digital shopping often asks customers to do the translation and navigation work that a good associate would handle in a physical store.
Conversational commerce changes that by letting customers start with what they actually want. Ecommerce digitized the shelf. Conversation could help digitize the guidance that makes the shelf useful.
Ecommerce made the customer the navigator
As online assortments grew, retailers needed a way to help shoppers navigate them. Search, categories, filters, sorting, and recommendation engines became the foundation of digital product discovery.
These tools work, but they also put much of the burden on the shopper. A customer has to take a human need and translate it into the retailer’s product taxonomy.
Someone who means, “I want to relax after work but still cook dinner and hang out with my partner,” may have to convert that into Flower → Hybrid → 3.5 grams → 20% to 25% THC → $30 to $45.
That translation creates friction. Baymard Institute’s 2025 ecommerce benchmark found that 58% of desktop ecommerce sites and 78% of mobile sites had “poor” to “mediocre” product-list usability.
Shoppers feel that friction, too. In a 2026 consumer survey, Attentive found that 70% of shoppers said online shopping can feel overwhelming, uncertain, or too time-consuming when trying to find an option they like. When that happens, 38% postpone the purchase, and 21% give up altogether.
Physical retail already has a tool for absorbing some of that complexity: the associate. Conversational commerce creates an opportunity to bring more of that guidance online.
Customers shop for outcomes, not product attributes
Retail systems are organized around products, but customers often shop around situations.
A dispensary shopper may say, “I’m going to a concert and want something uplifting, but I don’t want to feel overwhelmed.” Another might say, “I usually buy flower, but I need something discreet for a weekend away.”
Those requests contain more than product attributes. They include context, preferences, constraints, and tradeoffs.
A catalog knows what a product is. A good associate helps the customer understand what they need that product to do.
Conversational commerce can bridge that gap. Instead of presenting the assortment first and asking the shopper to figure out what fits, the retailer can start with the shopper’s intent and narrow the assortment around it.
The goal is not a smaller catalog. It is a smaller consideration set. A shopper does not need to evaluate 150 products if the retailer can confidently say, “Based on what you told me, I would start with these three.”
Conversation could become the next merchandising layer
Retail merchandising has always been about connecting demand with the right products. What has changed is how retailers make that connection.
In physical retail, the shelf shapes discovery through placement. Ecommerce added navigation, giving shoppers categories, search, filters, and collections. Retailers then added algorithms, using behavioral data to predict which products might be most relevant.
Conversation adds something different: declared intent.
A customer can say, “I’ve been buying the same gummies for months, but I want something similar that costs a little less.” Purchase history may show what they usually buy, but it does not explain why they want to switch today. Conversation provides the missing context directly.
That makes conversational commerce different from another recommendation carousel. The product grid merchandises for an audience, while conversation can merchandise for a moment.
Shoppers may want a copilot before they want an autopilot
A lot of discussion around AI shopping focuses on a future where agents make purchases on the customer’s behalf. Current consumer behavior suggests a more immediate opportunity: helping people make better decisions.
Gartner surveyed U.S. consumers in 2026 and found shoppers were much more comfortable allowing AI to narrow their options than allowing it to make the final purchase. For household supplies, 31% were willing to let AI narrow their choices. Across the categories Gartner studied, willingness to let AI make the final purchasing decision topped out at just 11%.
That difference matters. Shoppers may not want AI to take over the buying process. They may want it to make the decision-making process easier. Conversational commerce can bring that kind of decision support online.
Flowhub’s Text-to-Order AI puts this idea into practice, giving dispensary shoppers a conversational way to ask questions, discover products, and move toward an order without navigating a traditional menu first.
Better conversations could create better merchandising
Conversation could also give retailers a valuable demand signal: an explanation of what the customer was trying to accomplish.
Retailers already know what people searched, clicked, added to cart, and purchased. Those signals show behavior, but they do not always explain intent.
A dispensary might begin seeing repeated questions like, “I want something similar, but cheaper,” “Which edible is easiest for a beginner?” or “What is the best deal if I have $50 to spend?”
At scale, those conversations could help retailers understand which attributes drive decisions, where shoppers struggle to compare products, what objections stop purchases, which products customers view as substitutes, and where assortment gaps may exist.
A traditional ecommerce funnel might show that someone viewed three products and left. A conversation may reveal that they could not tell the difference between them. That is a much more useful signal for merchandising, assortment, promotions, and product education.
Bringing the associate to ecommerce
Ecommerce became extremely good at digitizing the shelf. It gave shoppers larger assortments, better access, powerful search, filters, and personalized recommendations.
What it has struggled to reproduce is the associate who can hear an imperfectly stated need and help the shopper make sense of the options.
Conversational commerce creates an opportunity to bring more of that guidance into the digital journey. Search and filters will not disappear, and shoppers who know exactly what they want can continue to use them. The difference is that customers who need help may no longer have to learn the retailer’s taxonomy before the retailer can help them.
The next evolution of ecommerce may not be about giving shoppers more choice. It may be about making the choice they already have easier to use.
If you're interested in adding conversational commerce to your ecommerce experience, book a demo with Flowhub today.
