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Boost sales with AI-driven product recommendations

Swiftask integrates AI into your Chatbot Builder. Guide your customers to the right products with suggestions based on their behavior.

Result:

Enhance user experience and maximize your average order value with zero manual effort.

Customers struggle to find products that match their needs

In e-commerce, the sheer volume of choices can be overwhelming. Customers abandon carts when they can't find what they need. Traditional chatbots, limited to scripted responses, fail to provide a personalized shopping experience.

Main negative impacts:

  • High cart abandonment: Without guidance to filter through options, users feel overwhelmed and leave without converting.
  • Low average order value: Lack of relevant recommendations prevents cross-selling and upselling, limiting the value per customer.
  • Generic customer experience: The chatbot fails to recognize specific needs, treating every visitor like a stranger.

Swiftask turns your chatbot into an expert salesperson. By analyzing preferences in real time, it offers tailor-made product recommendations for every client.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

The customer browses, searches, and hesitates. They ask the chatbot a question and get a generic FAQ link. The customer eventually leaves, frustrated by the lack of real help.

With Swiftask + Chatbot Builder

The customer expresses a need. The AI agent analyzes their history, checks your catalog, and suggests the 3 most relevant products with a direct link to purchase.

Deploy your sales assistant in 4 steps

STEP 1 : Connect your product data

Import your catalog or connect your database to Swiftask so the AI knows your offerings.

STEP 2 : Configure the Chatbot Builder

Integrate Swiftask's AI engine into your existing chatbot builder in just a few clicks.

STEP 3 : Define recommendation rules

Set the agent's tone and selection criteria to reflect your business strategy.

STEP 4 : Launch and optimize

Activate the agent and track conversion performance directly in the Swiftask dashboard.

What your recommendation agent can do

The AI considers context: purchase history, products viewed, declared preferences, and current trends.

  • Target connector: The agent performs the right actions in chatbot builder based on event context.
  • Automated actions: Display interactive product cards. Suggestions based on cross-selling. Answer specific questions about features. Step-by-step guidance to the checkout page.
  • Native governance: Every recommendation is optimized to maximize conversion rates while staying true to your brand image.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-chatbot-builder@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose Swiftask for your recommendations

1. Personalization at scale

Every customer receives unique advice, as if they were accompanied by a salesperson in-store.

2. Increased average order value

The AI naturally identifies upsell opportunities during the conversation.

3. 24/7 availability

Your sales assistant never sleeps and is there to support your customers at any hour.

4. Seamless integration

Compatible with your existing e-commerce tools, with no major technical overhaul required.

5. Data-driven insights

Learn what your customers are actually looking for through conversation logs.

Privacy and performance

Swiftask applies enterprise-grade security standards for your chatbot builder automations.

  • Protected data: Customer preference processing adheres to the strictest GDPR standards.
  • Ethical AI: Recommendations are based on objective criteria, without discriminatory bias.
  • Technical stability: Robust infrastructure capable of handling e-commerce traffic spikes without latency.
  • Full control: You retain control over recommended products via the Swiftask back-office.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your key metrics

MetricBeforeAfter
Conversion rateMarket standard+20% to +40% observed
Customer search timeHighReduced by 60%
Average order valueStaticConsistently increasing
User satisfactionAverageVery high

Take action with chatbot builder

Enhance user experience and maximize your average order value with zero manual effort.

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