Automate "where is my order?" tickets
Let an AI agent answer order-status, delivery and returns questions instantly, using live order data.
36 practical ways DTC, FMCG and retail teams use AI, with the problem, how AI helps, steps to roll it out, the tools to use, a rough cost and sourced brand examples.
Let an AI agent answer order-status, delivery and returns questions instantly, using live order data.
Draft, summarise and translate replies inside the helpdesk so agents handle more tickets with better quality.
Bring marketplace buyer messages into one AI-assisted inbox and hit marketplace response-time targets.
Write on-brand product descriptions, titles and meta data for hundreds of SKUs in hours, not weeks.
Remove backgrounds, generate lifestyle scenes and resize product shots for every channel without a studio day.
Generate on-model imagery from flat-lay or mannequin photos to cover more SKUs, sizes and colourways.
Manage one source of truth for product data and push channel-ready content to retailers and marketplaces.
Score and improve hero images and gallery content using AI trained on shopper response.
Track how your products appear on every retailer: price, stock, search position, content and reviews.
Monitor competitor and marketplace prices daily and set rules (or AI) for how you respond.
Use AI demand models to choose which products to promote, at what depth, and predict the uplift.
Build a retailer promo calendar with AI support, then evaluate each event properly afterwards.
Predict the uplift from a promotion or product launch so you buy the right stock and avoid stock-outs.
Generate purchase orders from AI forecasts and lead times instead of spreadsheets.
Research keywords and rewrite titles, bullets and backend terms to rank and convert on Amazon.
Automate bidding and budget allocation across Amazon and retailer media networks against profit goals.
Generate ad variants with AI and use creative analytics to learn which hooks and formats win.
Produce UGC-style video ads with AI avatars or creator marketplaces to feed paid social testing.
Use generative AI to adapt master assets into thousands of on-brand variants for channels, retailers and markets.
Use predictive segments and AI-generated content to send each customer the right message at the right time.
Let AI answer replies to SMS campaigns, recommend products and recover carts by text.
Use loyalty data and AI insights to design rewards and tiers that increase repeat purchase.
Use cancellation flows, retention offers and cohort analytics to keep subscribers longer.
Recommend the right product with a quiz and capture zero-party data for email and SMS.
Understand natural-language queries, typos and synonyms so shoppers find products and convert.
Show personalised add-ons in cart, checkout and post-purchase.
Use AI to turn thousands of reviews into themes for product, CX and creative teams.
Automate review requests and syndicate reviews to Google and retailers.
Use AI attribution and server-side tracking to allocate budget with confidence.
See contribution margin and LTV by channel and cohort, not just revenue.
Find creators, manage gifting and rights, and track which content performs.
Draft calendars, captions and visuals, and learn what performs.
Capture every meeting and turn it into decisions, owners and follow-ups.
Build a data-backed range review or listing pitch for a UK grocer or retailer in hours.
Use AI research tools with citations to brief yourself on a category or competitor.
Sort, prioritise and draft replies to busy inboxes.
No use cases match.
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