Udeep Organic v29 · Admin role fix

Dashboard · Listings · Audit · Reconciliation · Daily · Monthly · Reviews

Catalog SKUs
0
0 listed
Avg checklist
0%
0 listings
Audit done
0%
0 approved
Avg review
0 reviews
Latest day sale
₹0
This month sale
₹0
ROAS —
Recon 30-day
₹0
0/5 reports
Shipments
0
0 units

Yeh system kaise kaam karta hai (Automation flow)

Sare menu aapas me jude hue hain — ek jagah data dalne se baki jagah apne aap update hota hai:
1️⃣ Listings — catalog ki master SKU + har platform listing + checklist. Cost master se har listing me apne aap aata hai.
2️⃣ Listing Audit — wahi listings audit ke liye aati hain. 3-4 auditor ko kaam baant do, status auto-track hota hai. Checklist % seedha Listings se aata hai.
3️⃣ Daily Sale & Ads — report import karo → Monthly Analysis apne aap rollup ban jata hai (sale, ads, ROAS, growth).
4️⃣ Payment Reconciliation — har platform settlement report → 30/60/90 din ka milaan. Dashboard pe combined dikhta hai.
5️⃣ Review Analysis — reviews import karo. SKU se ye Listings ke product se auto-match hota hai (listing detail me rating dikhti hai).
6️⃣ Dashboard — sab menu ka live summary yahan. Koi bhi tile pe click karke us menu me jao.
Auto-links: • Daily → Monthly (rollup)   • Master cost → har listing   • Reviews SKU → Listing product (detail me avg rating)   • SKU report → Listing detail me us SKU ka sale   • Audit ↔ Listings checklist.
Listings to audit
0
All platforms
Approved
0
0%
Issues
0
Need fixing
Pending
0
Not started
Auditors:
3-4 logon ke naam add karein, phir "Auto-assign work" se pending listings unme baant jayengi. Har vyakti apna naam filter karke apni listings audit kare.
SKUProductPlatformChecklistAuditorStatusNoteLast audited
Master SKUs
0
Total products
Listed
0
On ≥1 platform
Platform Listings
0
All platforms
Avg Checklist
0%
Completion
PLATFORM
Reports loaded
0
of 5 platforms
30-day sales
₹0
All platforms
60-day sales
₹0
All platforms
90-day sales
₹0
All platforms
Kaise use karein: Niche har platform ke card par uska report nikalne ka rasta likha hai. Wahan se settlement/payment report download karein → card par upload karein → Date column aur Amount/Settlement column chunein. Tool 30 / 60 / 90 din ka settlement, transaction count aur avg per transaction nikal dega (report ki sabse nayi date se ginti hoti hai, isliye purani report bhi chalti hai).

Combined 30 / 60 / 90-day comparison

Sum of all loaded platforms
Shipments
0
Created
Total Units
0
All shipments
This Month
0
Shipments
SKUs Shipped
0
Distinct

🤖 Smart Replenishment — kaunsa item kis warehouse

Cover days
Plan kaise banta hai: SKU report (Monthly Analysis me import) ke last-month sale se har item ka daily run-rate nikalta hai → item jis platform pe listed hai (Listings) us platform ka warehouse (aapki mapping) → suggested qty = run-rate × cover days, current stock minus. Pehle warehouses set karein aur SKU report import karein.

🚚 Platform-wise shipment plan (Amazon / Flipkart / Blinkit ...)

Cover days
Us platform ki apni sale report upload karein (Amazon/Flipkart/Blinkit Seller panel se — SKU + Qty + Date). Tool us platform ke har SKU ka run-rate nikaal kar, us platform ko fulfil karne wale warehouse ke liye shipment plan banata hai. (Blinkit/quick-com ke liye city-wise stock bhi dhyan rakhein.)
Shipment IDDateDestinationCourierItemsUnitsActions
Latest day sale
₹0
7-day sale
₹0
0 orders
7-day ads spend
₹0
ROAS —
Days recorded
0
Month sale
₹0
Month orders
0
Selected month
Month ads
₹0
ROAS —
vs last month
Sale growth

Monthly sale trend

Sale per month — platform-wise filter
Platform breakdown —
PlatformOrdersSaleAdsROAS
Top SKUs
#SKUQtySale
Top Cities
#CityOrdersSale
Total reviews
0
Avg rating
Positive (4-5★)
0%
0 reviews
Negative (1-2★)
0%
0 reviews

Rating distribution

Avg rating by platform

Top rated products (min 2 reviews)
SKU / ProductAvgReviews
Needs attention — lowest rated
SKU / ProductAvgReviews
Product-wise review analysis
SKU / ProductAvgReviewsNeg%

Improvement insights

Negative reviews (1-3★) me sabse zyada aane wale shabd — yahi cheezein product me improve karni hain
Recent negative reviews (1-2★)
Action items
0
Auto-generated
High impact
0
Do these first
Listing gaps
0
Not listed
Weak listings
0
Checklist <60%
Sale kaise badhayein: Niche ka action plan aapke apne data se apne aap banta hai — jaise hi aap Listings / Reviews / Daily / Ads update karte ho, ye recommendations refresh ho jate hain. Upar wale (High impact) sabse pehle karein.
Recommended actions
Total posts
0
Planned
Scheduled
0
Upcoming
Posted
0
Done
This month
0
Posts
DatePlatformTypeTitle / CaptionProductStatusActions
New launches
0
Tracked
Trending up
0
Sale rising
Declining
0
Needs push
Listing gaps
0
Expand here
📈 Trending up (sale rising)
SKUPrev moLast moGrowth
📉 Declining (needs push)
SKUPrev moLast moDrop
New launch tracker
SKUProductLaunch dateStatusListed onActions
Loss-making
0
Net < 0
Thin margin
0
<10% margin
Healthy
0
≥10% margin
Avg margin
0%
Priced listings
"Kahan paisa leak ho raha hai": Har listing ka net margin = Price − Cost − (Price × marketplace fee%) − per-order shipping. Niche fee% har platform ka set karein (estimate — apne actual commission daalein to sahi aayega). Loss-making aur thin-margin listings sabse upar — yahi galtiyan hain.
Per-order shipping ₹ Min healthy margin %
SKUProductPlatformCostPriceFee%Net /unitMargin%
Competitors tracked
0
Entries
We are pricier
0
Vs competitor
Can undercut & profit
0
Match still ≥min margin
Rating behind
0
Their rating higher
Our productPlatformCompetitorTheir priceOur priceGapMatch → our marginRating (them / us)
⚡ Win plan (auto from competitor + profit)
Return units
0
Money lost
₹0
Returns + RTO
Worst platform
Worst product
Returns by platform
PlatformUnitsLost ₹

Top return reasons

Reason text se — yahi cheezein theek karni hain
Worst products by returns (yahan paisa ja raha hai)
SKUProductReturn unitsLost ₹
🔒 Vault — sare platform ke login URL, user ID aur password ek jagah. Password sirf Admin ko dikhega; Team ko •••• dikhega. Backup me bhi ye save hota hai. Note: ek offline file kisi dusri website (Amazon/Flipkart) pe khud login nahi kar sakti — browser security isko block karti hai. Isliye "Open+copy" se site khulti hai aur ID phir Password clipboard me copy ho jate hain — bas paste karna hota hai. Sachche auto-login ke liye browser ka apna password manager (Chrome/Edge "Save password") use karein — wahi site khulte hi khud bhar dega.
Platform / NameURLUser IDPasswordNoteActions
Growth Academy — Growth strategy, Listing SEO, full Shopify, aur har ad platform ka deep tutorial. Naye log "Core" + "Growth" se shuru karein; experienced team direct apne topic pe jaaye. Ye poora knowledge base team training ke liye hai.
Core
Growth
Listing & SEO
Shopify
Marketplace
Quick-Com
Performance
Strategy

Ad Fundamentals

Har ad platform alag dikhta hai par economics same hai. Ad tab profitable hai jab ek click ki value > ek click ki cost. Yahi poori game hai.

The funnel

  • TOF (Top / Awareness) — naye log jaante hi nahi. Reach/video/display. ROAS kam, par demand banata hai.
  • MOF (Middle / Consideration) — category search, competitor conquesting, retargeting non-buyers.
  • BOF (Bottom / Conversion) — high-intent keywords, branded terms, cart/retarget. Sabse high ROAS — pehle yahan paisa lagao.
Rule: pehle BOF maximize karo (sasta, pakka return), phir MOF, phir TOF se demand badhao. Naya brand 70% budget BOF/MOF pe rakhe.

The one formula that decides everything

Max profitable bid (CPC) = AOV × Conversion Rate × Break-even margin%

Matlab: agar AOV ₹500, CVR 8%, aur aapka margin 30% hai → ek click ki value = 500 × 0.08 × 0.30 = ₹12. ₹12 se zyada CPC pe wo keyword loss me hai. Har keyword/campaign ka decision isi se lo.

Break-even point

Break-even ACOS = Net margin % | Break-even ROAS = 1 ÷ margin%

30% margin → break-even ACOS 30%, break-even ROAS 3.33x. Iske upar profit, niche loss (jab tak strategically new-customer/launch ke liye na ho).

Attribution & the organic halo

Ads sirf direct sale nahi laate — ranking, reviews, organic visibility bhi badhate hain (halo effect). Isiliye campaign-level ROAS se zyada TACOS (total ad cost ÷ total revenue, organic+paid) dekho. TACOS gir raha + sale badh rahi = ads kaam kar rahe hain bhale single campaign ROAS average ho.

Attribution window har platform alag (Amazon 7/14 din, Meta 7-day click). Numbers compare karte waqt window same rakho warna galat decision.

Testing discipline

  • Decision lene ke liye statistical signal chahiye: ~ 1 conversion-cycle ka data — keyword pe min ~10 clicks ya 1-2 orders ki window se pehle pause/scale mat karo.
  • Ek time pe ek hi variable test karo (bid YA budget YA creative), warna seekh nahi paoge kya chala.
  • Naya campaign ko learning period do (7-14 din / platform learning phase) — bar-bar chhedne se algorithm reset ho jaata hai.