Built for retail brands doing
$20M–$300M in revenue.
You've outgrown Shopify + spreadsheets. NetSuite is too rigid, too expensive, and takes 12+ months to implement. NexuSphere AI is purpose-built for exactly where you are — live in 2–8 weeks, with AI embedded from day one.
You're running a $50M business
on spreadsheets and gut feel.
Built for your stage.
Not enterprise bloat.
Stop managing data.
Start managing growth.
Ready to see it live?
30-minute demo built around your workflows. No slides. Direct access to the founder.
No credit card · 30-day pilot · Direct founder access
Frequently asked questions
What ERP should a DTC brand use?+
DTC brands doing $20M–$300M typically outgrow Shopify plus spreadsheets but find NetSuite too expensive and slow to implement. NexuSphere AI is purpose-built for this stage: deploys in 2–8 weeks, starts at $499/month, includes AI-native features like ML demand forecasting and automated 3-way match that NetSuite requires expensive add-ons to replicate.
When should a DTC brand implement ERP?+
The signals that it's time for ERP: you're managing orders across more than two channels, your finance team spends more than 3 days on month-end close, you're making inventory decisions from spreadsheets, or AP reconciliation takes more than a day per week. NexuSphere AI is designed to be implemented before these problems become crises.
How does NexuSphere AI handle multi-channel DTC order management?+
NexuSphere AI captures orders from Shopify, EDI, email, PDF, and direct API — normalizing them into a single canonical order model. Fulfillment, invoicing, payment, and GL posting all flow automatically regardless of channel. Finance sees one clean view across all revenue streams.
What ML models does NexuSphere AI include for retail brands?+
NexuSphere AI includes four production ML models: demand forecasting (14-day horizon at SKU level, 94% accuracy), sales forecasting (91% accuracy), anomaly detection across AP and inventory (97% accuracy), and inventory optimization with reorder recommendations (89% accuracy). All models run continuously on your live transaction data.