Provider Predictive Dashboard
Predictive business intelligence for revenue, service mix, customer behaviour and seasonal opportunities.
Provider: DCME Provider 001
Predictive business intelligence
Review current revenue, projected performance, customer behaviour, service mix and seasonal opportunities. This screen prepares decisions only — no customer messages are sent from here.
Provider: DCME Provider 001
Provider ID: 1
Period: 2026-05-01 to 2026-05-06
Queue: normal
NO LIVE CUSTOMER MESSAGES
Provider: DCME Provider 001 | Provider DB: dcmecom_provider_001 | Period: 2026-05-01 to 2026-05-06 | Queue: normal
Current Revenue
$3,990.20
Selected period gross revenue
Projected Revenue
$3,990.20
Run-rate projection
Projected Profit
$2,713.34
Revenue less labour model at 32%
Average Ticket
$64.36
Period gross ÷ transactions
Transactions
62
Tickets generated in period
Revenue Collected
$3,990.20
Paid tickets in selected period
Outstanding
$0.00
Open counter due opportunity
Picked Up Count
62
Tickets marked picked up
Season
Autumn
Current seasonal context
Next Season
Winter
Forward campaign planning window
Average Days Between Visits
117.3 days
Behaviour cycle estimate
Decision Feed Ready To Send
| Segment | Count | Reason | Recommended Action | Channel | Priority |
|---|---|---|---|---|---|
| High Value Customers | 1 | Protect high spenders and increase retention | VIP thank-you / premium service offer | SMS + email + staff note | High |
| Lost 30-Day Customers | 6,538 | Short-cycle win-back before they drift further | Timed win-back offer | SMS | Critical |
| Wedding Gown Peak Promotion | 0 | Wedding gowns and formalwear should be pushed into wedding-heavy months. | Target bridal clean + preservation campaign | Decision → Marketing → Social / SMS / POS | Medium |
| Curtain Summer Refresh | 0 | Curtains come down for summer cleaning and presentation refresh. | Promote curtain + cushion bundle campaign | Decision → Marketing → Social / SMS / POS | Medium |
| Doona / Blanket Off-Bed Clean | 0 | Heavy blankets and doonas come off the bed in warmer months. | Promote bedding clean + pillow clean bundle | Decision → Marketing → Social / SMS / POS | Low |
| Jeans Take-Up / Perfect Fit | 0 | Alteration always-on opportunity because jeans and trousers rarely fit perfectly. | Push alteration prompt on trouser / jeans tickets | Decision → Marketing → Social / SMS / POS | Low |
| Cold Snap Coat / Overcoat Push | 0 | Coats, jackets and winter outerwear spike in cold periods. | Cold-weather jacket and overcoat campaign | Decision → Marketing → Social / SMS / POS | Low |
| Leather / Suede Care Window | 0 | Best pre-winter preparation period for jackets, leather and suede care. | Launch pre-winter leather / suede restoration campaign | Decision → Marketing → Social / SMS / POS | Low |
| Executive Laundry Box | 0 | Premium laundry separation offer for shirts, underwear, socks and folded drawers-ready packing. | Launch premium recurring laundry offer | Decision → Marketing → Social / SMS / POS | Low |
| Wet Day Laundry Opportunity | 0 | Laundry demand rises when customers cannot dry at home. | Weather-trigger laundry SMS / social push | Decision → Marketing → Social / SMS / POS | Low |
Season + Context Opportunities
| Opportunity | Season / Trigger | Why | Value | Decision |
|---|---|---|---|---|
| Wedding Gown Peak Promotion | Spring + Summer | Wedding gowns and formalwear should be pushed into wedding-heavy months. | $1,320.00 | Target bridal clean + preservation campaign |
| Curtain Summer Refresh | Summer | Curtains come down for summer cleaning and presentation refresh. | $800.00 | Promote curtain + cushion bundle campaign |
| Doona / Blanket Off-Bed Clean | Summer | Heavy blankets and doonas come off the bed in warmer months. | $660.00 | Promote bedding clean + pillow clean bundle |
| Jeans Take-Up / Perfect Fit | All year | Alteration always-on opportunity because jeans and trousers rarely fit perfectly. | $560.00 | Push alteration prompt on trouser / jeans tickets |
| Cold Snap Coat / Overcoat Push | Winter | Coats, jackets and winter outerwear spike in cold periods. | $525.00 | Cold-weather jacket and overcoat campaign |
| Leather / Suede Care Window | Autumn | Best pre-winter preparation period for jackets, leather and suede care. | $520.00 | Launch pre-winter leather / suede restoration campaign |
| Executive Laundry Box | Autumn | Premium laundry separation offer for shirts, underwear, socks and folded drawers-ready packing. | $450.00 | Launch premium recurring laundry offer |
| Wet Day Laundry Opportunity | Rain / Winter / storm periods | Laundry demand rises when customers cannot dry at home. | $300.00 | Weather-trigger laundry SMS / social push |
Lost 30 Days
6,538
High Value Customers
1
Frequent Customers
0
One-Time Customers
24
Frequency Drift
1,338
Lost 60 / 90
6,145 / 5,745
Service Mix
Dry Cleaning
$2,807.20
Laundry
$190.00
Alterations
$0.00
Shoes
$0.00
Other
$993.00
Best Performers
- Best revenue service: Mens/ Ladies Dark 2Pce $480.00
- Second best: Wedding Dress $399.00
- 2026-05 → $3,990.20 from 62 tickets at $64.36 avg
Worst / Underperforming Services
- Scarf → $15.00 | action: promote, bundle or reprice
- Shorts → $17.00 | action: promote, bundle or reprice
- Skirt Below Knee -Dark → $18.00 | action: promote, bundle or reprice
- Jacket Sports Dark → $18.40 | action: promote, bundle or reprice
- Tie → $20.00 | action: promote, bundle or reprice
What Changed Month To Month
- No month-to-month change summary available
Top Sold Services
| Service | Bucket | Sold | Qty | Revenue |
|---|---|---|---|---|
| Mens/ Ladies Dark 2Pce | other | 12 | 12 | $480.00 |
| Wedding Dress | dry cleaning | 1 | 1 | $399.00 |
| Dress After 5 | dry cleaning | 7 | 8 | $280.00 |
| Doona King | dry cleaning | 4 | 4 | $265.00 |
| All Plain Dresses | dry cleaning | 5 | 8 | $240.00 |
| Overcoat | dry cleaning | 5 | 7 | $224.00 |
| Blazer Dark | dry cleaning | 6 | 8 | $184.00 |
| Deb Dress | dry cleaning | 1 | 1 | $170.00 |
| Trouser/ Slacks Dark | dry cleaning | 6 | 8 | $136.00 |
| Blazer Light | dry cleaning | 5 | 5 | $125.00 |
| Doona Queen | dry cleaning | 2 | 2 | $120.00 |
| Business Shirt | laundry | 6 | 11 | $110.00 |
| Jumper | other | 3 | 5 | $85.00 |
| Jacket Woolen Short | dry cleaning | 3 | 3 | $84.00 |
| Ladies Blouse | other | 5 | 5 | $75.00 |
Unused Services Ready To Launch
| Service | Bucket | Launch Action |
|---|---|---|
| All active offered services recorded sales in the selected period | ||
Run Log
{
"ok": true,
"provider_id": 1,
"provider_db": "dcmecom_provider_001",
"season": "Autumn",
"next_season": "Winter",
"current_revenue": 3990.1999999999998181010596454143524169921875,
"projected_revenue": 3990.1999999999998181010596454143524169921875,
"avg_ticket": 64.3599999999999994315658113919198513031005859375,
"transactions": 62,
"picked_up_count": 62,
"service_rows": 40,
"missing_services": 0,
"decision_feed_count": 10
}
Predictive Notes
- This build uses business truth, sold services, customer behaviour and seasonal context.
- High-value and frequent customers are now pushed into a decision-ready feed.
- Seasonal opportunities are now inbuilt for laundry, bedding, curtains, leather, wedding gowns and premium laundry boxes.
- Next stage is to push this decision feed into Decision and then into micro-marketing and social bot flows.