LMNT | Retail Data Sync
Date: March 17, 2026 Source: Granola Meeting ID: 3f59ac29-c6c8-4773-9062-a0851bcdb1c2 URL: https://notes.granola.ai/t/3f59ac29-c6c8-4773-9062-a0851bcdb1c2
Participants:
- Uttam Kumaran (note creator) from Brainforge uttam@brainforge.ai
- Russell Broere from Drink LMNT russell@drinklmnt.com
- Amber Siru Lin from Brainforge ambersiru.lin@brainforge.ai
Data Reconciliation & Sources
- Current numbers very close between LMNT and Brainforge systems
- POS: 5.713M (~$25K difference)
- Target: 819K (~$1K difference)
- Likely causes of small discrepancies:
- Time zone differences (Central vs EST)
- Daily vs weekly aggregation methods
- Single store or SKU misclassification
- Russell’s current data collection process:
- Emerson portal for Target/Walmart weekly reports
- Target Vendor IQ for daily breakdowns
- Manual email requests to team for verification
- Vitamin Shop data comes through Beth manually
- Final reconciliation against P&L statements
- Takes ~3 hours across multiple sessions
OKR Automation Requirements
- Monthly OKR sheet currently manual population
- Gross sales numbers (before deductions)
- Trade spend tracking with dispute flags
- POS data by retailer
- Russell confirmed all OKR numbers are gross sales
- Deductions handled separately by Beth in accounting
- Example: $256K disputed Target charge flagged but included
- Brainforge already pulling from same Emerson backend
- Can automate OKR population
- Will save Russell 3+ hours monthly
Inventory Management & Distribution Gaps
- Russell’s 7-year inventory tracking system:
- Units sold, on hand, in transit, on order by store/SKU
- Calculates weeks on hand with replenishment timing
- Flags stores <4 weeks (yellow) and <2 weeks (red)
- Identifies repeat offender stores for Target escalation
- Brainforge has Target/Walmart inventory data:
- On hand, in transit, on order available
- Can automate Russell’s manual tracking system
- Enable proactive distribution gap management
- Target complexity vs other retailers:
- Multiple off-shelf promotions throughout year
- Unexpected quarter-palette opportunities
- 50%+ sales spikes disrupt inventory planning
- Requires more sophisticated forecasting
Next Steps
- Amber: Compare daily February reports to identify exact discrepancy source
- Amber: Build automated inventory tracking dashboard based on Russell’s model
- Russell: Forward daily Target RMS report for validation
- Russell: Connect Brainforge with John if discrepancies persist
- Team: Coordinate with Beth on Vitamin Shop data integration
- Russell: Available next week in Bozeman for follow-up discussion