AI for your team / Sales & Marketing

Turn more interest
into business.

Help the right customers find the right offer. Respond to opportunities sooner and give people a reason to come back.

Illustrative retail marketing colleagues discussing garments and campaign materials
AI-generated illustrative image.

AI for the work that matters

Win attention.
Make it easier to buy. Keep the relationship.

Make the offer more relevant.

Use customer needs, buying patterns and permitted engagement data to support segmentation, product recommendations and timely offers. Test messages and content variations with your team.

The business value

More relevant customer experiences and a stronger route from interest to enquiry or purchase.

Respond while the opportunity is warm.

Bring approved product, pricing and account information together to prepare proposals, quotes and follow-ups. Give sellers a useful view of the opportunity and next action.

The business value

Faster responses, less preparation and more time for the conversations that help win business.

Give customers a reason to return.

Spot changes in buying behaviour and identify opportunities for helpful re-engagement, replenishment reminders or relevant next offers. Put the customer context in front of your team.

The business value

More focused retention activity, stronger repeat business and better use of existing customer relationships.

Learn what earns the response.

Analyse recurring feedback and campaign results. Use those insights to develop better content, test ideas and refine the journey from first contact to purchase.

The business value

Less guesswork and a clearer view of the messages, offers and experiences that lead to useful action.

Published research

0% to 16.3%Sales effects across tested applications

Better customer experiences can influence sales.

A working paper based on large-scale online-retail field experiments in 2023-24 found sales effects ranging from 0% to 16.3% across tested generative-AI applications. Higher conversion was the main mechanism behind the gains.

Fang and colleagues · Columbia Business School research, working paper

For B2B teams, McKinsey’s research also covers opportunity identification, account planning and proposal support. McKinsey · Unlocking profitable B2B growth through gen AI, March 2025

Possibilities to explore

Useful support.
Your team’s judgement.

We choose a focused task, use information you have permission to use and assess the quality of the output with your team.

Content still needs checking. A quicker draft is only useful if it is accurate, relevant and sounds like your business.

A useful first step

Start with one point where interest goes quiet.

Improve a slow quote response or test a more relevant follow-up for one customer group. Use what you learn to connect content, offers and seller activity across the wider customer journey.

See what changes.

Track enquiry-to-sale conversion, quote turnaround, proposal win rate, repeat purchases, retention and campaign contribution alongside content quality.

Talk about AI for your team

Make it happen

The right help around your team.

Published UK retail example / Sweaty Betty

A test tied to a commercial measure.

In 2023, Sweaty Betty reported a 3% increase in average order value in a UK test of AI recommendation widgets on product pages. This was the retailer’s own test, reported by Retail Technology Innovation Hub.

Read the published example

Talk to Ignite

What would you like AI to change?

In 30 minutes, we’ll talk through what you want to change, the systems you use and where you need help. If there is a fit, we’ll agree the next conversation.

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