Brainforge x LMNT: wholesale

Thu, 11 Dec 25 · uttam@brainforge.ai, shivani@drinklmnt.com, laura@drinklmnt.com, robert.tseng@brainforge.ai, madison@drinklmnt.com

Current Wholesale Data Challenges

  • Historical data extremely difficult to pull (36 hours trying to download wholesale orders report)
  • Customer tagging system inconsistent over time
    • Previously: single “wholesale” tag for all customers
    • Now: segmented tags (trusted health, specialty retail, bulk buyers)
    • 2,000 customers manually moved from trusted health to specialty retail
  • Google Sheet CRM disconnected from Shopify
    • Email mismatches break customer linking
    • Only 2,000 out of 13,000 customers have clean application matches
    • Missing onboarding dates for customers beyond 2 years

Wholesale Business Structure

  • 13,000 total partners (grew from 200 when Laura started)
  • Three segments with different pricing/products:
    1. Trusted health practitioners (~10,000) - 65% margins, $2 single packs
    2. Bulk buyers (~1,500) - increased pricing, same products as trusted health
    3. Specialty retail (~1,500) - 30% margins, new SKUs, on hold for January launch
  • All growth currently inbound, no proactive prospecting
  • Team of 2 (Laura and Madison) manages entire P&L including inventory planning

Five-Year Strategy Requirements

  • Building hiring plan tied to account management structure
  • Key questions needing data answers:
    • Which segments need dedicated account managers vs general support
    • Account size thresholds for personalized service
    • Optimal portfolio mix across segments
    • Impact of retail expansion (Walmart, Target) on wholesale demand
  • Current monthly applications dropped to 120 vs typical 300+ target
  • Need segment-specific growth rates and retention analysis

Channel Cannibalization Concerns

  • Retail expansion creating pricing pressure on wholesalers
  • Tennis center owner buying Costco Element instead of wholesale
  • D2C pricing increased (88 sparkling) to maintain wholesale margin protection
  • Target availability undermining wholesale value proposition
  • Specialty retail margins too low (30%) for competitive pricing vs subscription model

Customer Journey & Operations

  • Automated welcome kit after first purchase
  • Third purchase unlock system over-projected inventory needs
  • Refrigerator unlock program based on sparkling spend thresholds
  • Event sampling support for all 13,000 partners
  • Lead times require 6-month forecasting on limited historical data

Product Mix Complexity

  • New 12-ounce vs 16-ounce sparkling cannibalization analysis takes full day
  • Investment items (refrigerators, merch) tracked as revenue but actually costs
  • Finance team manually removes subsidized purchases from revenue reporting
  • SKU-level reporting breaks with creative bundling strategies

Next Steps

  • Tool selection (ETL and data warehouse) within one week
  • Data ingestion during rest period, modeling in January
  • Historical data pulls will be fastest wins once warehouse operational
  • Google Sheet integration for account matching relatively straightforward
  • January sessions planned for data definition crosswalking between teams

Chat with meeting transcript: https://notes.granola.ai/t/5eea826a-1150-4833-af53-7b3f8b621d80