Platform AI tools are great at telling you what happened.
Spark tells you why it happened, what it means,
and exactly what to do about it.
Spark by MishiPay AI connects directly to your store through official platform APIs, then applies specialist analysis frameworks powered by leading large language models to give you actionable insights.
Spark uses your store data only to provide insights back to you. Your data is never used for AI model training — our enterprise agreements with Anthropic explicitly prohibit it and we have a Zero Data Retention agreement (ZDR).
Spark uses your own store-level data to provide the best results to you. That data is never shared with, or used to generate insights for, any other retailer or store.
AES-256 encryption at rest, TLS 1.3 in transit, and Google Cloud Platform infrastructure. Read more on our Trust & Security page.
Real examples of how Spark goes beyond surface-level answers. Platform AI gives you the data. Spark gives you the insight.
Your top product by revenue is the Vitamin C Serum at $4,800 this month, followed by the Hydrating Moisturizer at $3,100. Here's a chart of your revenue by product.
Your Vitamin C Serum sells for $48 with an actual cost of $8.40. After shipping ($5.20), payment fees ($1.69), and average discounts on this product ($4.80), its true contribution margin is $27.91 per unit (58%). That's your most profitable SKU. But your Deluxe Gift Set costs $34 to produce, sells for $45, and ships for $8.90. After discounts, you lose $7.80 on every sale. You've sold 43 this month — that's $335 in losses. Consider discontinuing it or repricing to $59+.
You've used 12 discount codes this month. Your total discounts given were $3,200. Your most-used code is WELCOME15 with 89 uses.
47% of your orders used a discount code this month, up from 31% three months ago — your discount dependency is accelerating. At 523 orders, you're giving away $8,002/month. Worse: 34 of the 89 WELCOME15 uses were from returning customers who already bought before. That single code costs $4,335/month in unnecessary discounts. Make it single-use per customer and you'll save $52K/year.
Your repeat customer rate is 28%. You have 1,245 total customers, and 349 have placed more than one order.
Your overall repeat rate is 28%, but that hides a problem. Customers acquired in September repeat at 38%. December customers repeat at just 12% — holiday buyers who never return. Also: customers whose first purchase was a serum repeat at 47% vs. 24% for accessories. Your acquisition funnel should lead with serums, not accessories — even if accessories have higher first-order AOV. And your re-engagement email fires at day 30, but 68% of repeat buyers purchase within 21 days. Move it to day 14.
You have 3 low-stock items: Vitamin C Serum (12 units), Hydrating Moisturizer (8 units), and Starter Kit (5 units). Consider restocking these soon.
Your Vitamin C Serum has 12 units left — at 198 units/month velocity, that's only 1.8 days of supply. It's your highest-margin product (58%) generating $9,504/month. Reorder immediately. Meanwhile, your Body Lotion Set has 340 units sitting in inventory — 567 days of supply at current velocity. That's $11,560 in capital trapped in a 12% margin product. Consider liquidating 200 units at a bundle discount to free up cash for more serum stock.
Your cart abandonment rate is around the industry average. Make sure you have clear shipping costs and a simple checkout process. Consider adding express payment options.
You had 1,847 abandoned checkouts vs. 523 completed orders — a 77.9% abandonment rate (above the 70% average). Average abandoned cart: $92.40. That's $170,664 left on the table. 22% of abandoned carts were $75-$99 — just under your $100 free shipping threshold. Lower it to $75 and recover an estimated 82 orders/month ($7,577). Also: you don't offer Apple Pay or Google Pay, which account for 16% of industry checkouts.
I can only access data from this store. For other platforms, you'd need to check those dashboards separately.
Your Shopify DTC channel sells Vitamin C Serum at $48 (58% margin). Your Odoo wholesale channel sells the same product at $32 (34% margin) but in 12x the volume. Combined velocity is 1,398 units/month across both channels. Your Shopify dashboard shows 12 days of supply, but factoring in Odoo orders too, you actually have 7 days. Reorder today or you'll stock out on both channels.
Today we support Shopify and Odoo with full data integration. We're expanding to WooCommerce, PrestaShop, and more. Each integration pulls products, orders, customers, and inventory — everything the AI needs to analyze your business.
No — they're complementary. Sidekick is great at store management: creating discounts, editing themes, building automations. Spark focuses on deep analysis: real margins, customer cohort behavior, discount dependency, inventory capital efficiency. Use Sidekick to execute changes. Use Spark to know what changes to make.
Through official platform APIs with OAuth authentication. For Shopify, we use the Admin API. For Odoo, we connect via authenticated XML-RPC. We only request the data scopes needed for analytics — we never modify your store.
We use Anthropic's Claude, one of the world's leading large language models. Your data is never used to train AI models — Anthropic's enterprise agreements explicitly prohibit it.
Yes. Reports are available in Excel, JSON, PDF. Unlike raw data dumps, Spark exports include the analysis and recommendations — not just numbers..
We offer a free tier so you can see the value before committing. Paid plans start at affordable price points designed for growing merchants. Check our pricing page for current details.
Not at all. Just connect your store and start asking questions in plain English. "Which products are actually profitable?" or "Am I discounting too much?" — Spark handles the analysis.
Connect your store and ask your first question. No credit card required.
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