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AI Chatbot for E-commerce: Boost Sales and Support

A laptop, a notebook and a pen on a wooden desk

In online retail, quick answers matter. When a shopper has a question about sizing, shipping, or returns, they usually want an answer right away. Many online shoppers leave without buying if they cannot find a quick answer to their question.

An AI chatbot (a program on your website that answers shoppers' questions in a chat window) lets an online store give quick, accurate answers at any hour without hiring a large support team. This article explains how online retailers use chatbots to increase sales and improve the customer experience.

Where Chatbots Fit in the E-commerce Journey

A well-prepared chatbot can help shoppers at each stage of the buying process.

Product Discovery

Shoppers often arrive knowing what problem they need to solve but not which product solves it. A chatbot can ask about their needs, preferences, and budget, then recommend specific products. This guidance helps customers find what they need faster and makes a purchase more likely.

For example, a shopper visiting a skincare store might say, "I have oily skin and I am looking for a moisturizer." The chatbot can recommend specific products from the catalog that match those criteria, explain the differences between options, and link directly to product pages.

Pre-Purchase Questions

A hand holds a smartphone and taps the screen

An important moment in an online purchase comes when the shopper has a question. Shoppers ask whether a shirt runs large or small, whether a product works with what they already own, and whether they can return it if it does not work. If these questions go unanswered, many shoppers leave items in their cart without buying. A chatbot that has your product details and policies can answer them right away.

For more on collecting shoppers' contact details, read the lead capture guide.

Cart Abandonment Recovery

When a shopper adds items to their cart but hesitates, the chatbot can offer help without being asked. Common concerns at this stage include shipping costs, delivery times, and uncertainty about the right product. When the chatbot answers these concerns during the visit, fewer shoppers leave without buying.

Post-Purchase Support

After the sale, customers have questions about order status, shipping tracking, returns, and product usage. These common, repeated questions are well suited to a chatbot, which gives your support team more time for complex problems such as damaged shipments or custom orders.

Key Use Cases for E-commerce Chatbots

Order Status and Tracking

Questions about order status are among the most common requests an online store receives. If the chatbot is connected to your order information, it can give tracking details, estimated delivery dates, and shipping updates without help from staff.

Size and Fit Guidance

For apparel and footwear retailers, sizing questions are a major source of both support requests and returns. A chatbot can guide shoppers through size charts, provide fit recommendations based on measurements, and reduce returns caused by incorrect sizing.

Product Comparisons

When shoppers are choosing between multiple products, the chatbot can highlight differences in features, specifications, and pricing. This helps customers make informed decisions and leads to fewer regretted purchases and returns.

Return and Exchange Processing

Questions about the return policy and requests to start a return are common support tasks. A chatbot can explain your return policy and who qualifies for a return, and guide customers through the return process step by step.

Promotional and Discount Information

Shoppers often ask about current promotions, discount codes, and sales. The chatbot can share current promotions and explain how to apply a discount code, which encourages shoppers to finish their purchase.

Impact on E-commerce Metrics

The Alma analytics screen for one bot, with conversations and new subscribers charted over 30 days
The analytics screen for one bot in a demo account. Analytics are included from the Growth plan.

Online stores that add an AI chatbot often see improvements in several important measures.

  • Higher conversion rate. This is the share of visitors who buy. Shoppers who use a chatbot are more likely to buy because their questions are answered during the visit.
  • Fewer abandoned carts. When the chatbot offers help at the cart stage, it can answer a shopper's concerns before they leave.
  • Fewer support requests: Common questions about orders, shipping, and returns are answered automatically.
  • Higher customer satisfaction. Most shoppers prefer a quick answer to waiting for an email reply, especially for time-sensitive questions about current orders.

Setting Up an E-commerce Chatbot

To get the most value from a chatbot on your online store, focus on the following topics when building your knowledge base (the written business information the chatbot answers from).

  1. Product catalog information: Descriptions, specifications, sizing, compatibility, and common questions about each product or product category.
  2. Shipping and delivery: Shipping methods, costs, delivery timeframes, international shipping policies, and tracking information.
  3. Returns and exchanges. Your complete return policy, eligibility criteria, process steps, and refund timelines.
  4. Payment and billing: Accepted payment methods, payment security information, and billing question answers.
  5. Promotions and loyalty: Current promotions, how to use discount codes, and loyalty program details.

With Alma, you build the chatbot's conversation steps with drag-and-drop tools. With the optional AI answering add-on, you can also paste this information into a field for the chatbot to answer from. The setup process takes less than an hour, and the chatbot can start answering questions as soon as it is on your site.

Best Practices for E-commerce Chatbots

  • Include product links in responses. When the chatbot recommends a product or answers a product question, it should link directly to the product page to make purchasing easy.
  • Update for seasonal changes: Add holiday shipping deadlines, seasonal promotions, and limited-time offers to the chatbot's knowledge base as they change.
  • Base answers on your actual customer questions. Review your past support requests and customer emails to find the exact questions shoppers ask. Write the knowledge base in the words customers actually use rather than in marketing language.
  • Offer a way to reach a person for complex orders: Custom orders, bulk purchases, and wholesale inquiries often need a staff member's attention. Make sure the chatbot can recognize these situations and pass them to the right person.

Get Started

If you run an online store, a chatbot is a practical improvement. Alma lets you build one that answers questions about your products and policies quickly, which can help more visitors become customers.

Related reading: AI Chatbot for SaaS Companies: Reduce Churn and Scale Support, How Website Chatbots Capture More Leads.

To see how Alma works for online stores, read about the ecommerce chatbot builder.

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