Xaven SDK is a TypeScript library that streamlines AI-driven e-commerce recommendations by optimizing user purchases across multiple partner platforms. Through a combination of machine learning inference, concurrency-limited fetching, and price-shipping balancing, developers can embed a optimized shopping experience into their applications.
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AI Query Understanding
- Parse user input with advanced ML-based textual analysis to extract product, brand, and budget constraints.
- Automatically refine ambiguous queries into actionable search parameters.
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Concurrent Data Fetch & Orchestration
- Perform parallel retrieval of product details from partner APIs, throttled by concurrency guards (e.g., p-limit).
- Resolve potential rate-limit issues via dynamic scheduling, ensuring stable high-load performance.
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Purchase Optimization Engine
- Combine real-time price checks, shipping cost evaluation, and historical preference data to rank offers.
- Minimize “total cost of ownership” by factoring in discount codes, membership perks, or seasonal deals.
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Context-Aware Caching
- Reduce redundant calls with integrated in-memory caching or pluggable Redis layers.
- Context-based strategy: store correlation IDs, user sessions, or ephemeral queries for multi-step purchases.
import { xavenAiEngine, xavenPurchaseOptimizer } from "xaven-sdk";
// 1. AI parse user desire
const userQuery = "Need a high-end laptop under 1500";
const aiParsed = await xavenAiEngine.parse(userQuery);
// 2. Optimize purchase
const bestOffer = await xavenPurchaseOptimizer.getBestRecommendation(aiParsed);
console.log("Optimal e-commerce partner:", bestOffer.partnerName);
console.log("Price (including shipping):", bestOffer.totalPrice);
Env Variable | Default | Description |
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`XAVEN_CONCURRENCY_LIMIT` | `5` | Maximum parallel queries to partner APIs. |
`XAVEN_CACHE_TTL` | `120` | Caching duration (seconds) for repeated requests. |
`XAVEN_AI_MODEL` | `qwen2.5` | Preferred reasoning model to interpret user queries. |
`XAVEN_LOG_LEVEL` | `info` | Logging verbosity for debugging aggregator flows. |
We welcome feedback and pull requests! Please adhere to our Code of Conduct.
Feel free to open issues, propose new features, or share your ideas on optimizing the user’s purchasing journey with Xaven SDK.
© 2025 Xaven Labs. Released under the MIT License.