Smart-Replenish
Right product. Right store. Right time.
Stop hoping products sell where you put them. Let AI auto-balance inventory between stores based on actual demand patterns. Move slow-moving Red Sweaters from Store A to Store B where they'll sell at full price instead of going on markdown.
Static Allocations Kill Margin
Traditional allocation is a one-time guess. You send 50 Red Sweaters to Store A and 50 to Store B. Store A sells through in a week. Store B still has 45 after a month—headed for the markdown rack. Sound familiar?
- Initial allocations based on historical averages
- No visibility into real-time demand signals
- Manual rebalancing is slow and expensive
- Stockouts in one store, overstock in another
- Margin erosion from unnecessary markdowns
Traditional Allocation Result
Store A
0
STOCKOUT
Lost 150 sales
Store B
45
OVERSTOCK
Marked down 60%
{
"recommendation": {
"type": "inter_store_transfer",
"sku": "RED-SWEATER-M",
"confidence": 0.94,
"reasoning": "High demand signal at Store A (12 searches, 3 reserve requests). Store B velocity: 0.2/week."
},
"transfer": {
"from": "store_b",
"to": "store_a",
"quantity": 20,
"priority": "high"
},
"projected_outcome": {
"markdown_avoided": "15,400 SEK",
"full_price_sales": 18,
"transfer_cost": "450 SEK",
"net_margin_impact": "+14,950 SEK"
}
}
AI That Sees Demand Before You Do
Smart-Replenish analyzes real-time signals across your network: sales velocity, search queries, reserve requests, weather, local events. It spots mismatches early and recommends transfers while there's still time to sell at full price.
- Real-time demand signal analysis
- Predictive velocity modeling by store
- Automated transfer recommendations
- Cost vs. benefit calculation per transfer
- One-click approval workflow
Demand Signals
The AI doesn't just look at past sales. It reads the signals that predict future sales.
Search Queries
"Red Sweater" searches spike at Store A = demand signal.
Reserve Requests
Customers asking to reserve items not in stock.
Sales Velocity
Units sold per day vs. weeks of supply remaining.
External Factors
Weather forecasts, local events, seasonality.
Simple Workflow
AI does the analysis. You approve and execute. Full transparency into every recommendation.
AI Analyzes
Continuously monitors inventory levels, sales velocity, and demand signals across all stores. Identifies mismatch opportunities.
You Approve
Review recommendations with full cost/benefit analysis. One-click approve, or set auto-approve rules for high-confidence transfers.
Teams Execute
Transfer tasks pushed to Inventory Runner. Store staff pick, pack, and ship. Full tracking from origin to destination.
Auto-Approve Rules
Trust the AI to act on your behalf. Set confidence thresholds and business rules—high-confidence recommendations execute automatically. Manual review only when needed.
- Confidence threshold (e.g., auto-approve if > 90%)
- Value threshold (e.g., only if margin impact > 1000 SEK)
- Category rules (auto-approve basics, review fashion)
- Store pairings (common transfer routes)
- Time windows (execute during off-peak hours)
{
"auto_approve": {
"enabled": true,
"rules": [
{
"name": "High confidence basics",
"conditions": {
"confidence": { "gte": 0.92 },
"category": ["basics", "essentials"],
"margin_impact": { "gte": 500 }
},
"execute": true
},
{
"name": "Fashion requires review",
"conditions": {
"category": ["fashion", "seasonal"]
},
"execute": false,
"notify": ["merchandising@company.com"]
}
]
}
}
Network Health Dashboard
See your entire inventory network at a glance. Spot imbalances, track recommendations, measure impact.
Network Overview
This Month's Impact
Works With Your Ecosystem
Smart-Replenish integrates seamlessly with Techzola add-ons and external systems.
Inventory Runner
Transfer tasks pushed directly to store staff mobile.
OnePOS
Real-time stock visibility for informed selling.
Techzola One
Central inventory master feeds the AI models.
3PL / WMS
Webhook triggers to external logistics systems.
Stop Leaving Margin on the Table
See how Smart-Replenish can optimize your inventory allocations across stores.