Xaven SDK ·

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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Core Features

1. 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.

2. 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.

3. 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.

4. 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.

Usage

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);

Advanced Configuration

Env Variable	Default	Description
`XAVEN_CONCURRENCY_LIMIT`	`5`	Maximum parallel queries to partner APIs.
`XAVEN_CACHE_TTL`	`120`	Caching duration (seconds) for repeated requests.