Cross-Location Balancer — Inter-Store Inventory Transfer Recommendations

User Profile (Required)

This skill requires a dealer group profile with at least 2 locations.

1. Read the marketcheck-profile.md project memory file.
2. Check user_type:
   • If dealer_group: use dealer_group.locations[] — requires minimum 2 locations
   • If dealer or other: "This skill is for multi-location dealer groups. Run /onboarding as a Dealer Group."
3. Extract:
   • locations[] with dealer_id, name, zip, state, dealer_type for each
   • preferences for group defaults
   • country ← location.country
4. Confirm: "Analyzing transfer opportunities across [N] locations"

User Context

The primary user is a dealer group operations manager or inventory director who manages vehicle allocation across multiple rooftops. The problem: one store has a surplus of SUVs sitting 60+ days while another store 50 miles away is short on SUVs and losing customers. A $200 transport cost to move the vehicle saves $2,000+ in aging floor plan costs.

Workflow: Transfer Opportunity Analysis

Step 1 — Get each location's inventory mix

For each location, use the Agent tool to spawn the marketcheck-cowork-plugin:lot-scanner agent:

Fetch inventory facets for dealer_id=[dealer_id], country=[country]. Mode: facets_only Facets: make|0|20|1, model|0|30|1, body_type|0|10|1 Also get: total_count, and aging facets if available

This returns each location's inventory breakdown by make/model and body type without listing every vehicle.

Step 2 — Get local demand for each location's market

For each location (US only), call mcp__marketcheck__get_sold_summary with:

• state: the location's state
• zip: the location's zip (with radius)
• inventory_type: Used
• ranking_dimensions: body_type
• ranking_measure: sold_count
• ranking_order: desc
• top_n: 10
• date_from / date_to: prior month

This shows what SELLS in each location's local market.

Step 3 — Calculate location-level gaps

For each location:

• Dealer mix % = units in category / total units × 100
• Market demand % = sold in category / total sold × 100
• Gap = Market demand % - Dealer mix %
• Positive gap = location is UNDER-STOCKED in this category (needs more)
• Negative gap = location is OVER-STOCKED (has too many)

Step 4 — Match senders with receivers

Cross-reference all locations to find transfer pairs:

• Sender: Location A has gap < -5% in a category (over-stocked) AND aged units in that category
• Receiver: Location B has gap > +5% in the same category (under-stocked)

For each potential transfer:

• Transport cost estimate = distance between locations × $1.50/mile (or flat rate if adjacent)
• Expected DOM improvement = difference in avg DOM for that category between locations
• Floor plan savings = expected DOM improvement × $[floor_plan_cost/day]
• Net benefit = floor plan savings - transport cost

Only recommend transfers where net benefit > $500.

Step 5 — Identify specific units to transfer

For the top transfer opportunities, get the specific aged units from the sender location:

• Units in the over-stocked category with DOM > aging_threshold
• Sort by DOM descending (move the oldest first)

Output

CROSS-LOCATION TRANSFER RECOMMENDATIONS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[Group Name] | [N] locations analyzed

INVENTORY MIX BY LOCATION
Category    | [Location 1]      | [Location 2]      | [Location 3]      | Market Demand
            | Count (Share)     | Count (Share)      | Count (Share)     | (Share)
------------|-------------------|-------------------|-------------------|-------------
SUV         | XX (XX%)          | XX (XX%)          | XX (XX%)          | XX%
Pickup      | XX (XX%)          | XX (XX%)          | XX (XX%)          | XX%
Sedan       | XX (XX%)          | XX (XX%)          | XX (XX%)          | XX%
...

RECOMMENDED TRANSFERS (sorted by net benefit)

Transfer 1: [Category] from [Location A] → [Location B]
  Units to move: [N] (oldest first)
  Reason: [A] has XX% surplus, [B] has XX% deficit in [category]
  Transport cost: ~$XXX
  Expected DOM improvement: XX days faster at [B]
  Floor plan savings: ~$X,XXX
  Net benefit: $X,XXX
  Specific units:
    VIN (last 8) | Year Make Model | DOM at [A] | Listed Price
    -------------|-----------------|-----------|-------------
    [unit 1]     | 22 RAV4 XLE     | 72 days   | $28,500
    [unit 2]     | 21 CR-V EX      | 65 days   | $26,200

Transfer 2: ...

TRANSFER SUMMARY
  Total recommended transfers: [N] units
  Total transport cost: ~$X,XXX
  Total expected floor plan savings: ~$XX,XXX
  Net benefit: ~$XX,XXX over [X] months

Important Notes

• This skill requires dealer_id for all locations — locations without a dealer_id are skipped.
• US-only for demand data: Demand analysis uses get_sold_summary. UK locations can still be analyzed for inventory mix but without market demand comparison.
• Transport cost is estimated. Actual costs depend on the group's logistics setup.
• Only recommend transfers for aged units (DOM > threshold) — don't move fresh inventory.
• If two locations are in different states, note potential registration and title considerations.
• For groups with 5+ locations, focus on the 3 highest-impact transfer pairs to keep it actionable.

Self-Check (before presenting to user)

• Transfer recommendations are bidirectional (from location X TO location Y)
• D/S ratios cited for both source and destination locations
• No vehicle recommended for transfer to a location that already has excess in that category
• Transfer list limited to actionable count (not entire inventory)
• Data period cited