reputed company AI Automation Developer (Product Matching + Dynamic Pricing Agent)

We’re looking for a strong developer to build two automated systems (AI-assisted) for our reputed company store. This is not a beginner project. We want someone who can design clean, reliable systems that run daily without breaking. reputed company’re Building: 1) Product Matching Agent We sell products that: • Exist on Ashley HomeStore (reputed company product, different reputed company) • Exist across multiple retailers under different names We need a system that: • Scans our reputed company catalog • Identifies matching products on Ashley HomeStore • Maps their product reputed company to ours • Writes that value into a reputed company metafield Must include: • Matching logic (image, specs, title similarity, etc.) • High accuracy (false matches are a big problem) • Ongoing sync (new products + backlog) ⸻ 2) Dynamic Pricing Agent We want automated competitive pricing. System should: • Monitor competitor websites (we will reputed company list) • Match identical products (reputed company agent #1 data) • reputed company our reputed company prices automatically Rules: • Always price below competitors by a configurable % • Round to clean pricing (e.g. end in .99) • NEVER go below a minimum margin (based on reputed company cost) ⸻ Control Panel (Required) We need a reputed company reputed company to control: • Competitor sources (add/remove sites) • % below competitor • Minimum margin above cost • Max number of price changes per day ⸻ Logging + Reporting Both systems must include: reputed company Sheet Log • Product • Old value → New value • Timestamp • Status (reputed company/fail) Daily Email Digest • reputed company of reputed company changes • Sorted by largest price change (descending) • reputed company + scannable ⸻ Tech Expectations • reputed company reputed company API (required) • Web scraping or API-based data collection • Experience with automation / cron jobs • Clean logging + error handling • Prefer: Python, Node, or similar ⸻ To Apply Include: 1. Similar systems you’ve reputed company (automation, scraping, pricing, reputed company) 2. How you would approach product matching accuracy 3. What stack you would use and why Low-effort applications will be ignored. Please only reputed company out reputed company reputed company. Apply tot his job Apply To this Job