> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.rightbrain.ai/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.rightbrain.ai/_mcp/server. # Templates for E-Commerce & Retail > Task templates for product optimisation, customer service, and personalisation E-commerce and retail teams use Rightbrain Tasks to optimise product listings, automate customer service, and personalise shopping experiences. Below are ready-to-use task templates with configuration details. #### Product Management #### Product Description Generation **Purpose:** Create SEO-optimised product descriptions that convert browsers into buyers **Inputs:** * Product name and specifications * Target audience profile * SEO keywords list * Brand voice guidelines **Task Instructions:** ``` Create a compelling, SEO-optimised product description for {product_name} using its {product_specifications}, written for {target_audience}, incorporating {seo_keywords}, and following our {brand_voice}. Generate a product title, short description (150 characters), full description, feature bullet points, and meta tags. ``` **Outputs:** * Optimised product title * Short description (150 characters) * Full product description * Feature bullet points * Meta description and tags **Integration:** New product upload, bulk catalogue update, publish to storefront, sync across channels **Try it now** #### Product Categorisation **Purpose:** Automatically classify products into appropriate departments, collections, and taxonomies **Inputs:** * Product name and description * Product attributes (colour, size, material, etc.) * Available categories and taxonomy structure * Category assignment rules **Task Instructions:** ``` Classify {product_name} with the following {product_description}. Assign primary category and relevant subcategories. ``` **Outputs:** * Primary category assignment * Subcategories **Integration:** Product import, catalogue reorganisation, update category fields, flag for manual review if uncertain **Try it now** #### Review Analysis **Purpose:** Extract insights, sentiment, and actionable feedback from customer product reviews **Inputs:** * Review text and star rating * Product information * Review metadata (date, verified purchase) * Previous review patterns **Task Instructions:** ``` Analyse customer {review}, extracting sentiment, identify key themes (quality, value, fit, functionality). ``` **Outputs:** * Sentiment score and classification * Key themes and topics mentioned * Product strengths highlighted * Issues and improvement areas * Listing update recommendations **Integration:** New review submission, scheduled batch analysis, update product insights dashboard, flag quality issues **Try it now** #### Competitor Price Monitoring **Purpose:** Track competitor pricing and identify opportunities for price adjustments **Inputs:** * Product identifier and current price * Competitor product URLs or data * Pricing strategy parameters * Market positioning guidelines **Task Instructions:** ``` Monitor pricing for {competitor} and identify any trends. ``` **Outputs:** * Competitor price comparison * Price positioning analysis * Recommended price adjustments * Market opportunity identification * Alerts for significant changes **Integration:** Scheduled monitoring (daily/weekly), competitor price change detection, trigger repricing workflow **Try it now** #### Customer Service #### Customer Inquiry Classification **Purpose:** Route customer messages to appropriate teams and generate suggested responses **Inputs:** * Customer message text * Order history and context * Previous interaction history * Available departments and workflows **Task Instructions:** ``` Classify customer inquiry: {customer_message}. Identify inquiry type (order status, returns, product questions, technical support, complaints). Assess urgency based on tone and content. Route to appropriate team and generate suggested response template. ``` **Outputs:** * Inquiry category and subcategory * Priority level (Critical/High/Medium/Low) * Routing recommendation * Suggested response template * Escalation requirements **Integration:** New customer message via email, chat, or support portal, assign to team queue, set SLA timer **Try it now** #### Order Status Response **Purpose:** Automatically respond to order tracking and status inquiries **Inputs:** * Customer inquiry text * Order number or customer identifier * Order status and tracking information * Delivery timeline estimates **Task Instructions:** ``` Respond to order status inquiry: {customer_inquiry}. Retrieve order details for {order_history}. Generate helpful, reassuring response with relevant tracking details and next steps. Address any concerns expressed in the inquiry. ``` **Outputs:** * Personalised status update response * Tracking information formatted for customer * Delivery timeline and expectations * Proactive issue resolution if delays detected * Follow-up actions required **Integration:** Customer inquiry detected as order status request, send automated response, escalate if delivery issue detected **Try it now** #### Personalisation #### Product Recommendation **Purpose:** Generate personalised product suggestions based on customer behaviour and preferences **Inputs:** * Customer browsing history * Purchase history * Cart contents (if applicable) * Product catalogue and inventory **Task Instructions:** ``` Generate personalised product recommendations for customer with purchase history {purchase_data}. Recommend complementary products, alternatives, and items matching their style. ``` **Outputs:** * Ranked product recommendations (top 5-10) * Recommendation rationale for each item * Product pairing suggestions * Personalisation confidence scores * Fallback recommendations if insufficient data **Integration:** Customer page view, email campaign, cart abandonment, display recommendations on site, personalise messaging **Try it now** #### Abandoned Cart Recovery **Purpose:** Create personalised recovery messages tailored to each customer's cart contents **Inputs:** * Abandoned cart items * Customer profile and history * Time since abandonment * Available incentives and promotions **Task Instructions:** ``` Create cart recovery message for customer who abandoned based on {cart_items}. Craft a playful personalised message highlighting product benefits and offering a 10% discount. ``` **Outputs:** * Personalised email subject line * Recovery message body * Product highlights from cart * Incentive recommendation (discount, free shipping) * Optimal send timing **Integration:** Cart abandoned for defined period (1-24 hours), send recovery email, apply promotional code **Try it now** ## Resources #### [Create a Task](/api-reference/api-reference/tasks/tasks/list-tasks) Complete API reference for task execution #### [API Integration](/docs/quickstart/create-a-task) Create and configure a Task over the API #### [Product feature patterns](/docs/patterns/features) Embed Task output in customer-facing product flows