Custom-built for your business.
Each solution is tailored to your brand, product range, data sources and customer journey — from the assistant’s appearance and tone to the questions it helps answer.
CUSTOM-BUILT FOR YOUR STORE
An AI-powered
virtual assistant
that knows
your products.
Custom-built for your brand, product range and customers. Let shoppers speak or type, get tailored product guidance, and discover what they need.
Built for your stores. Tailored to your customers.
MEET THE AI SHOPPING ASSISTANTCEED AI / PROTOTYPE
CEED AI concept demo. Retailer branding has been removed from this screenshot.
Good advice starts with
knowing what’s on the shelf.
01 / THE OPPORTUNITY
Your customers have questions.
Your team has only so much time.
Which paint works on this surface? How much do I need? Where can I find it? In DIY retail, a good answer can be the difference between a confident purchase and an unfinished project.
A virtual assistant you can talk to.
Customers speak with an on-screen avatar, ask follow-up questions and interrupt naturally. Product cards bring the conversation to life with images and prices.
Sources behind the answers.
Structured product information and safety documentation give the assistant a factual basis for its recommendations.
02 / EXAMPLE: DIY RETAIL
What could customers ask?
Here’s an example.
Exterior paint and wood protection are one example of how CEED AI can support in-store advice. These examples show the kinds of customer questions our prototype can help answer, using product data from a retailer’s catalogue.
QUANTITY & PRODUCT GUIDANCEFrom square metres
From square metres
to the right amount.
The prototype uses product coverage data to calculate paint quantities, suggest pack sizes and point the customer to the shelf.
Illustrative example · not a live conversationMORE VALUE FROM EVERY CONVERSATION
Help your customers.
Understand them better.
The questions customers ask can reveal what sales figures alone don’t: what they need, what confuses them and what stands in the way of a purchase. Conversation data can turn those questions into useful insights for your business.
See what customers need.
Identify recurring questions, requested products and needs that your current range may not cover.
Find friction before the checkout.
Spot unclear product information, difficult comparisons and compatibility questions that leave customers unsure.
Make better-informed decisions.
Use aggregated patterns to inform merchandising, product content, staff training and assortment planning.
We define the data collection and reporting with each retailer, including what is recorded, how long it is retained and how customer privacy is protected.
03 / A SELECTION OF USE CASES
Different aisles.
The same need for good advice.
A few examples of where an AI-powered virtual assistant could help customers choose, compare and find products.
Illustrative use cases, not current deployments. Each would depend on the retailer’s product data and a tailored implementation.
01
Building supplies & DIY
From project idea to the right materials.
“How much paint do I need for a 60 m² façade?”
“Which screws in your range are suitable for outdoor decking?”
HOW THE ASSISTANT COULD HELP
Calculate quantities, match materials to the project and find suitable products using specifications and application instructions.
02
Grocery stores
A little help with the everyday shop.
“Where can I find the coconut milk?”
“What could I cook for four people with these ingredients?”
HOW THE ASSISTANT COULD HELP
Locate products, suggest meal ideas and build a shopping list around the customer’s ingredients, preferences and the store’s range.
03
Electronics
The right device. The right accessories.
“Which of these laptops fits my budget and has a full-day battery?”
“Will this monitor connect to my laptop without an adapter?”
HOW THE ASSISTANT COULD HELP
Compare specifications, explain differences in plain language and check compatibility against manufacturer data.
04
Garden & outdoor
Advice for every growing space.
“Which plants in your range suit a shady balcony?”
“How much soil do I need for these planters?”
HOW THE ASSISTANT COULD HELP
Filter plants by their listed growing conditions, calculate quantities and find the tools and materials for the job.
05
Furniture & home
Make the measurements work.
“Will this table fit in a room this size?”
“Which bulbs fit this lamp, and can they be dimmed?”
HOW THE ASSISTANT COULD HELP
Check dimensions, compare materials and match compatible accessories using the store’s product specifications.
06
Beauty & personal care
Make the product label easier to navigate.
“Which shampoos in your range are fragrance-free?”
“What is the difference between these two styling products?”
HOW THE ASSISTANT COULD HELP
Filter by listed ingredients, explain intended uses and share the manufacturer’s product instructions.
04 / START SMALL. LEARN TOGETHER.
One category.
A few stores.
A clear next step.
We’re looking for retail partners to explore a focused pilot. A practical way to understand what works for your customers and your team.
Let’s explore a pilot ↗Choose the right starting point
Define your customer journey, brand experience and data connections. Agree on an initial product category and store scope, plus the insights you want to learn from customer conversations.
Test in the real world
A proposed six-to-eight-week pilot, with a scope and success measures agreed together before it begins.
Measure what matters
Response speed, questions resolved without staff support, and the effect on purchase decisions — alongside recurring customer needs and gaps in product information.
LET’S BUILD BETTER IN-STORE ADVICE
What could your
product data say?
See the prototype. Talk through your range.
Explore what a pilot could look like.