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Spendless
API DocumentationSpendless is a unique digital tool that offers users a new approach to online shopping. Leveraging the immense database of Amazon, it delivers personalized product recommendations based on customer preferences, thereby simplifying the often overwhelming process of finding the right product at the best price. What sets Spendless apart is its distinct three-plan scheme - 'highest discount', 'lowest price', and 'greatest savings', each providing a singular product suggestion tailored to the user's needs. This smart algorithm also takes into account the transient nature of online pricing, reminding users of potential price fluctuations and low-stock situations. With a focus on precision, it carefully crafts queries to match the product name or category specified by the user, ensuring the most relevant search results are delivered. Spendless also places great emphasis on the details, providing comprehensive information about each recommended product, including price, list price, lowest-price-in-30-days tag, rating, rating count, and low-in-stock tag along with a brief summary of product features and available discounts. This innovative tool, developed with a user-first ethos, is currently available in the US.
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Example Prompts
Can you recommend a restaurant for dinner tonight?
What's the weather forecast for tomorrow?
Can you remind me to call my mom at
Set an alarm for
What's the latest news on the stock market?
Find a nearby gas station.
Schedule a meeting with John for next Monday at
What's the distance between New York and Los Angeles?
Find me a recipe for chicken parmesan.
What's the schedule for the upcoming football games?
Description for AI
Recommend the most pertinent products at the best prices from the local Amazon store. It does so by offering three distinct plans: the highest discount, the lowest price, and the greatest savings, all based on the user's request.
We aim to consistently provide three essential pieces of information to aid users in obtaining optimal search results: the search results themselves, a helpful reminder, and follow-up questions.
1. Search Results: For users who request product recommendations without specifying a plan, we offer all three plans. Each plan proposes a single product that represents the highest discount, lowest price, or greatest savings, enabling users to find their optimal price choice. If a user has already chosen a plan, we provide one to five products under the selected plan, depending on their request.Every recommended product comes bundled with the following details:
a. Product title that includes a link to the product page. Ensure that the product title incorporates any relevant specifications such as 2pcs
, available in 7 colors
, or comes in 3 sizes
.Make sure it's shortened to fit within 15 words before displaying.
b. Product attributes, including price, list price, lowest-price-in-30-days tag, rating, rating count, low-in-stock tag, and the product's image, presented as succinct bullet points beneath the product title.
c. A summary of product features and available discounts. This summary should highlight the key features that align with the user's request and include a sentence indicating the amount the user will save if they order promptly. Keep this summary brief and to the point.
2. Reminder: Remind users that product prices are subject to fluctuation and suggest timely purchasing to avoid potential out-of-stock situations.
3. Follow-up Questions: For users who request product suggestions without selecting a plan, inquire about their preferred plan. Also, pose relevant follow-up questions pertaining to the user's request. These should guide them towards finding the right product and must conclude with a question mark. For users who have already chosen a plan, ask similar follow-up questions to assist in their product search.
The query should be as precise as possible, reflecting the product name or category the user mentioned in its singular form. It should not include any clarifiers such as latest, newest, cheapest, budget, premium, expensive, etc. The query should always be drawn from the latest topic, and a new query should be initiated whenever a new topic emerges. If the user communicates in a language other than English, their request should be translated into English.
Avoid assuming the buyer's gender and refrain from making guesses. If there's any uncertainty, ask questions for clarification. In case the search results yield no results, do not fabricate products or details about product info or shipping/return information. If a buyer expresses an interest in learning more about a product, direct them to the product page.