AI profit intelligence for supplement brands

Forecast demand. Predict reorders. Prove ROI.

Datrick builds the data foundation, ML forecasting models, and agentic workflows that help supplement and health-commerce brands reduce stockouts, improve repeat purchase, and track measurable 24-month ROI.

Shopify + subscriptionsKlaviyo retention dataInventory + 3PL feedsSKU demand forecastingLTV and churn predictionAI weekly action agents
24-month ROI forecastLive model
Target return on $100k implementation2.4x–6.1xBased on stockout recovery, retention lift, overstock reduction, and marketing efficiency.
Payback target6–12 mo
Forecast MVP90 days
Lead score87/100
Next actionAudit
Agent insight

Top risk: creatine bundle will stock out 19 days before the planned promo unless reorder quantity changes.

2–5xtarget 24-month ROI range
8–12 weeksto first production forecasting MVP
$5M–$50Mbest-fit brand revenue range
30+SKU threshold where the pain becomes expensive

The wedge

One vertical. One measurable promise.

Supplement brands already have Shopify, Klaviyo, subscriptions, ad data, reviews, and inventory systems. The missing layer is the AI decision system that tells operators what to do next.

Data foundation

Clean warehouse for orders, customers, products, inventory, ads, reviews, support, and margins.

Forecasting engine

SKU demand, stockout risk, overstock risk, subscription load, and launch planning.

Prediction models

LTV, churn, reorder timing, product affinity, promo sensitivity, and cohort quality.

Agentic workflows

Weekly inventory, retention, growth, customer voice, and executive ROI agents with human approval.

ROI levers

We sell against profit leaks, not AI hype.

Every implementation starts with a baseline and a 24-month ROI model. If the numbers do not support a real opportunity, we do not recommend the build.

Recovered gross profit

Reduce stockouts

Forecast demand by SKU, subscription load, campaign calendar, and lead time so winners do not go dark when traffic is highest.

Repeat purchase lift

Improve reorder timing

Predict who is due to purchase again and push clean audiences into Klaviyo before the customer disappears.

Inventory cash efficiency

Protect cash from overstock

Spot slow movers early, identify discount risk, and model how much cash is trapped in inventory before it becomes markdown pain.

LTV:CAC quality

Scale better customers

Connect acquisition channels to predicted LTV so growth teams know which cohorts deserve more budget.

weekly_roi_agent.run({
  brand: "supplement_dtc",
  inputs: ["shopify", "klaviyo", "recharge", "inventory", "ads"],
  output: "actions_ranked_by_profit_impact"
})

→ 7 SKUs at stockout risk
→ 3 retention segments ready for Klaviyo
→ $42k estimated gross profit at risk
→ reorder plan and campaign brief drafted

LLMs + agents

Bounded agents that create action, not chaos.

We use LLMs for explanation, text intelligence, and workflow drafting. Models forecast. Agents summarize, prioritize, and prepare actions for human approval.

Inventory Planning AgentRetention Segment AgentGrowth Analyst AgentCustomer Voice AgentExecutive ROI Agent

Commercial model

Audit → implementation → managed optimization.

ROI Readiness Audit

$5k–$15k2 weeks
  • Data readiness score
  • Baseline metrics
  • 24-month ROI model
  • Implementation roadmap

Managed AI Optimization

$5k–$20k/mo12–24 months
  • Model monitoring
  • Monthly ROI reviews
  • New experiments
  • Agent workflow maintenance

Who we target

Built for brands ready to pay for measurable ROI.

Start here

Get a custom ROI assessment for your brand.

We will model the opportunity across stockouts, overstock, retention, LTV:CAC, and forecast readiness. Serious brands get a concrete implementation path.

We review every audit request manually and reply with the next diagnostic step within 1–2 business days.