ActualPrice

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e commerce product trends by AI

Inspiration

A Stanley cup goes viral on TikTok. Within hours, resellers have tripled their prices while most merchants are still selling at cost. By the time sellers realize what's happening, the trend has peaked and they've left thousands in revenue on the table.

This happens constantly in e-commerce. Merchants are flying blind—reacting to trends days late because they're too busy running their business to monitor social media, track competitors, and recalculate prices.

We built ActualPrice to answer one question: What should this product cost right now, based on what the market actually looks like?

And then: what if the price could adjust automatically, with payments settling instantly through MNEE instead of waiting 2-3 days for traditional processors?

What It Does

ActualPrice connects your store to real-time market intelligence:

Sentiment Engine — We continuously monitor Twitter and Reddit for product mentions, brand sentiment, and viral moments. When buzz spikes, you know immediately.

Competitor Tracking — Track competitor prices automatically. When they move, you see it in your dashboard alongside the context (are they responding to the same trend you're seeing?).

AI Pricing Recommendations — Our engine synthesizes sentiment data, competitor movements, and your pricing rules to recommend optimal prices. Each recommendation includes a confidence score and plain-English reasoning—so you understand why, not just what.

Auto-Reprice — Connect your Shopify or WooCommerce store and let ActualPrice push price updates directly. Set guardrails (min/max price, maximum daily changes) and choose between auto-apply or approval-based workflows.

MNEE Payments — Accept MNEE stablecoin at checkout. Payments settle instantly with automatic revenue splits—80% merchant, 15% affiliate, 5% platform—executed by smart contract, not manual reconciliation.

How We Built It

Core Stack

FastAPI backend with Celery workers for async sentiment analysis
Next.js + TypeScript frontend with real-time dashboard updates
PostgreSQL for relational data, Redis for caching and rate limits

AI/ML

Hybrid sentiment pipeline: VADER for speed, OpenAI GPT-4o-mini for nuance, Gemini as fallback
Custom scoring algorithm that weights recency, source credibility, and engagement

Integrations

Shopify Admin API and WooCommerce REST API for bidirectional sync
Social platform APIs (Twitter v2, Reddit) with intelligent rate limit management

Payments

Ethers.js + WalletConnect for wallet connectivity
Solidity smart contract handling automated payment splits on every transaction

Challenges We Faced

Signal vs. Noise in Sentiment

Social data is messy. Early versions flagged sarcasm as positive sentiment and spam accounts skewed our scores. We solved this with a multi-model approach: VADER handles volume, GPT-4o-mini interprets context and detects sarcasm, and we weight posts by account age and engagement ratio.

The ProductIntegrationLink Problem

Our auto-reprice pipeline worked perfectly—until it didn't. Prices would be recommended, approved, but never applied. The bug: we were generating recommendations for products that hadn't been linked to their platform counterparts. We added validation at ingestion time and recovery logic for orphaned products.

Preventing Price Whiplash

Early testing showed prices changing too frequently, which looks bad to customers and can trigger platform warnings. We implemented confidence thresholds (only act above 70%), cooldown periods between changes, and maximum daily adjustment limits.

Multi-Platform Sync

Shopify and WooCommerce have different rate limits, webhook formats, and edge cases (variant pricing, sale prices, inventory sync). We built an adapter layer with platform-specific handlers rather than trying to force a one-size-fits-all approach.

What We Learned

Stablecoins solve real merchant pain. The instant settlement isn't just a nice-to-have—it changes cash flow for small merchants. And programmable splits mean affiliates get paid immediately, which makes partnership deals much easier to negotiate.

AI recommendations need human guardrails. The most effective setup isn't full automation—it's AI suggestions with clear reasoning and merchant-defined boundaries. Trust builds when users understand why a price is recommended.

Trace the whole pipeline. Our biggest debugging wins came from adding correlation IDs that followed data from social API → sentiment analysis → recommendation → price application. When something fails, you need to see the complete journey.

What's Next

Near-term (post-hackathon)

TikTok integration (where most viral moments start)
Mobile push notifications for high-confidence recommendations
Bulk import from existing product catalogs

Medium-term

Additional platforms: BigCommerce, Magento, Amazon Seller Central
A/B testing framework for pricing strategies
Affiliate marketplace for influencer partnerships

Long-term

Multi-currency MNEE support for international merchants
Predictive pricing using historical trend patterns
API access for enterprise integrations

Why MNEE?

Traditional payment processors charge 2.5-3% and hold funds for days. For a merchant doing $100K/month, that's $3K in fees and constant cash flow pressure.

MNEE changes the economics: near-zero fees, instant settlement, and programmable money that can automatically split revenue the moment a transaction confirms. ActualPrice demonstrates what's possible when dynamic pricing meets programmable payments.