For retail and ecommerce
Built to handle the retail rhythm
With Kindly, November-December feels like any other time of the year. Automate repetitive queries like WISMO, and remove the high-volume busywork that’s stopping your support team from focusing on cases that truly need their care.
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Trusted by leaders across Europe
The retail problem
Your support teams crash during peak season.
Black Friday. Boxing Day. Mid-season sales. The launch of a new collection. Volume spikes overnight, and every spike brings the same questions. "Can I return this?" "What size should I order?" "Is it back in stock?" "When will my refund come through?" "Can I change the address on my order?"
Retailers handling these challenges well rely on AI to give their support teams some relief during the heavy weeks, have conversations that stay true to their brand voice, and serve customers in their own language.
What changes with Kindly
Handle the questions your team has answered a thousand times.
Automatically handle repetitive questions related to your order tracking, returns, sizing, and stock checks. The repetitive volume that fills your queue during peak season is taken care of the moment it lands. Your team gets to spend their time on the conversations that actually need them.
Have on-brand conversations, grounded in your own data.
Get your AI Support Agent speaking to your customers in the voice they love - your brand’s own. Conversations the agents have are based on your product catalogue, returns policy, stock data, and support documentation. Kindly helps you avoid the kind of confident-but-wrong answer that costs your customer's trust.
Support every market without rebuilding your support stack.
AI Agents built with Kindly are multilingual, out of the box. Expanding into new markets or serving a diverse customer base isn’t the challenge it used to be. Your team chooses whether to run one playbook across markets, or add more nuance by supporting multiple markets with their own policies. Your call.
See what your busiest week was actually made of.
Analytics built around the way retail actually runs. Stay on top of peak-week resolution rates, channel mix, and the root-causes that your team can fix.
How Kindly’s AI Support Agents help millions of Elkjøp’s customers
More than 2 million Elkjop customers across Norway, Sweden, and Finland are supported by Kindly during their time of need.
Frequently asked questions
How does Kindly handle peak season volume?
Kindly's platform is built to handle surges. AI Support Agent capacity scales with your traffic, so a Black Friday spike doesn't slow response times. The repetitive questions that flood in around sales weeks are handled in seconds, and the cases that need a human get routed there with the full conversation in tow.
Can my AI Support Agent answer questions about specific orders?
Yes. Kindly connects to your order management and shipping systems through webhooks and APIs. When a customer asks "Where's my order?" or "When will it arrive?", your AI Support Agent pulls the live status from your business systems and responds with the customer's specific details. For sensitive answers, the AI Support Agent authenticates the customer first.
Will the AI Support Agent stay on brand?
Yes. Tone, vocabulary, and persona are configurable, and answers are grounded in your own knowledge base, your product catalogue, and your returns policy. Your AI Support Agent doesn't speak in a generic AI voice. It speaks the way your team would write a reply, every time.
Can Kindly integrate with our eCommerce and returns stack?
Yes. Kindly connects to common retail systems including order management, shipping carriers, returns platforms, helpdesks, and CRMs through webhooks and APIs. Most retail stacks plug in without custom development, and Kindly’s expert team helps you easily connect the ones that don’t.
What kinds of logistics enquiries does Kindly’s AI Support Agent answer?
The AI Agent handles the questions that show up most across the transport and logistics queue. Tracking, delivery windows and timeslots, address changes, pickup point updates, returns, reroute requests, customs queries and weight or size questions for senders. It also pushes proactive updates when something operational shifts. The exact scope is set by the integrations and data sources in place.
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Build AI support agents that earns your customer's love.
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