Glovo is bringing shopping into ChatGPT and Claude. That changes quick commerce

Glovo has launched an AI Shopping Assistant that works through ChatGPT and Claude, letting users search for products through ordinary conversation instead of tapping through menus.

That sounds small until you remember how most delivery apps work. Search is still built around keywords, categories and filters. You type coconut milk, then search again for spices, then compare shops, then hope the cart has not turned into a little museum of unavailable items.

Conversational shopping changes the front door. Instead of starting with a product name, the user can start with intent: dinner, a budget, a person, a recipe, a mood or an emergency errand.

What you need to know

• Glovo's verified latest move is an AI Shopping Assistant for ChatGPT and Claude.
• The assistant helps users discover products, compare options and move toward purchase.
• The strongest use case is messy human intent, not simple product lookup.
• Users still need to verify availability, quantities, substitutions, delivery fees and final prices.
• For Kenyan shoppers, the bigger story is how AI could make local inventory easier to navigate.
• For merchants, conversational discovery may change which products get surfaced first.

What exactly has Glovo launched?

Glovo has added a shopping assistant experience inside major AI chat platforms. A customer can ask for help finding products in natural language, then be guided toward available options and the buying journey.

This is different from a normal search bar. A search bar waits for a keyword. A shopping assistant interprets a need. The user might say they are cooking fish curry, shopping for a birthday gift, looking for household supplies under a budget or trying to replace a missing ingredient.

The assistant can then translate that intent into products that exist in Glovo's marketplace.

The important caveat is that tecMAMBO should not describe this as a perfect autonomous cart that always knows every shelf in every Nairobi shop in real time. It is a discovery layer connected to commerce. The cart still deserves human review.

The AI can help. It should not be allowed to order six tins of coconut milk because it got excited.

Why quick commerce needs this

Quick commerce became popular because it reduced delivery time. The next fight is reducing decision time.

A large marketplace creates a paradox. The more restaurants, supermarkets, pharmacies and shops it adds, the more useful it becomes. It also becomes harder to browse.

Users do not always know the exact product name. They know the job they need done.

• What do I need for chapati and beef stew?
• Which snacks work for a small office meeting?
• Find baby wipes and a mild detergent near me.
• I need cold medicine, tissues and soup ingredients.
• What can I buy for under KSh 1,500 for a housewarming gift?

That is where AI has a real role. It can convert a loose human request into a structured shopping mission.

The Kenyan angle

Kenya is a strong market for this because shopping behaviour is already hybrid. A person may buy some items from a supermarket, others from a pharmacy, and others from a local convenience store. Price, delivery fee, availability and proximity all matter.

If conversational commerce works properly, it could help users avoid searching for the wrong product name, discovering too late that one item is unavailable, or paying extra because the app split the shopping mission badly.

The dream is simple: describe the outcome, then let the system do the boring matching. The danger is also simple: the system may optimise for Glovo's commercial interests before the user's best value.

A good assistant should explain why it recommended a product, show alternatives, respect budget and make sponsored placement obvious.

What merchants should worry about

Search ranking already shapes digital commerce. AI assistants could make that power stronger.

If the assistant becomes the shopping gatekeeper, merchants will care about how it chooses products. Does it prioritise availability, price, delivery speed, merchant rating, sponsored placement, margin or past user behaviour?

Small merchants could benefit if the assistant understands local inventory better than the old category menu. They could also disappear if the assistant learns to favour large partners with cleaner catalogues and better data feeds.

AI does not remove platform power. It can hide it behind a friendly sentence.

What users should check before ordering

• Item size and quantity
• Brand and variant
• Expiry-sensitive categories
• Substitutions
• Delivery fee
• Service fee
• Merchant location
• Estimated delivery time
• Final total
• Any sponsored recommendations

This matters most for groceries, medicine-adjacent products, baby items and budget-constrained shopping. A human shop assistant can mishear you. An AI assistant can misunderstand you at scale.

The tecMAMBO take

Glovo's AI Shopping Assistant points to the next phase of delivery apps. The future is not only faster riders or larger product catalogues. It is a better interface for intent.

People do not want to search like databases. They want to ask like people. Still, convenience should not mean surrender. AI shopping must show its work, respect user budgets and make commercial influence visible.

The assistant should carry the basket. The buyer should still check the receipt.

Conversational shopping is useful only when the final decision stays with the shopper, not the assistant.