Smoothr is a cutting-edge platform designed to streamline the ordering process for restaurants and food businesses. The integration between Leat and Smoothr allows businesses to leverage order data to enhance customer engagement and loyalty programs.

What's possible:

• Order Data Synchronization: Automatically sync order data from Smoothr to Leat, ensuring accurate tracking of customer purchases and preferences.

• Customer Profile Creation: Generate detailed customer profiles in Leat based on order data, enabling personalized engagement and marketing.

• Automated Loyalty Points: Award loyalty points for orders processed through Smoothr, encouraging repeat business and customer retention.

• Engagement Campaigns: Use order history and customer data to create targeted marketing and engagement campaigns.

• Reward Redemption: Enable customers to redeem loyalty points for discounts or perks directly through the Smoothr platform.

Key benefits:

• Enhanced Engagement: Utilize order data to drive personalized customer interactions.

• Profile Automation: Automatically create and update customer profiles based on order information.

• Increased Loyalty: Reward customers for their orders, boosting loyalty and repeat visits.

• Targeted Marketing: Leverage detailed order data for more effective marketing campaigns.

• Seamless Operations: Integrate ordering processes with loyalty programs for a unified customer experience.

How to install the integration:

• Request Integration: Contact Smoothr support to initiate the integration process. Ensure your Smoothr system is compatible with Leat.

• Configuration Setup: Provide necessary credentials such as API keys and integration tokens, which can be generated in the Leat dashboard during the onboarding process.

• Install Extension: Download and install the Leat extension from the Smoothr marketplace or your integration partner's repository.

• Configure Settings: Configure the integration settings within Smoothr, linking your ordering system to the Leat platform and mapping relevant data fields.