The Challenge
- 12+ overlapping schemes tracked in a diary: 2–3 missed claims a month (₹15,000–₹20,000)
- 23 invoices with GST errors in a quarter; 12 hours to fix
- 6–8 minutes per bill; festive-season queues
See How Retailers Like You Could Benefit from RetailerOS
Four example scenarios, one per retail vertical, showing the kind of outcomes RetailerOS is built for. Store names, locations and figures are illustrative.
- Example scenarios, one per retail vertical
- 4
- To go live, not months
- Days
- To start on the Free plan
- ₹0
Telecom Retail — PuneExample scenario
Multi-Brand Mobile Store Recovers ₹1.8 Lakh in Missed Scheme Payouts
1 store · 8 brands · 180–220 handsets a month · 4 staff
The Solution
- All eight brands' schemes applied and claimed at billing
- Pre-loaded HSN codes: no more invoice corrections
- Scan-to-bill in under 3 minutes
- Scheme payouts recovered in 4 months
- ₹1.8L
- GST compliance errors since switching
- 0
- Faster billing per transaction
- 60%
- Freed from manual reconciliation
- 8 hrs/wk
Example scenario: the store, figures and quote are illustrative, not a specific customer's results.
RetailerOS tells me exactly what is pending, what is expiring, and what I have already claimed. Last month I claimed every single scheme payout for the first time ever.
Electronics Retail — HyderabadExample scenario
Electronics Chain Eliminates 92% Shrinkage Across 3 Stores
3 stores · 6 brands · ~2,800 active IMEIs
The Challenge
- Excel IMEI tracking: 14 devices (₹3.2 lakh) missing in one audit
- ₹1.4 lakh in scheme claims expired in one quarter
- Sundays spent reconciling stock store by store
The Solution
- Every IMEI scanned at purchase, transfer and sale
- Claims logged instantly, alerts 7 days before expiry
- Live stock, sales and claims on one phone
- Reduction in inventory shrinkage
- 92%
- Brand scheme payouts recovered in 6 months
- ₹4.7L
- Faster staff billing speed
- 35%
- Saved from eliminating Sunday reconciliation
- 5 hrs/wk
Example scenario: the store, figures and quote are illustrative, not a specific customer's results.
I was losing more money to missed schemes every quarter than RetailerOS costs me in a year. The IMEI tracking alone would have justified it.
Fashion & Accessories — BangaloreExample scenario
Fashion Retailer Gains Complete Multi-Store Visibility Across 5 Locations
5 stores · ₹1.8 crore in fashion, watches, sunglasses and bags
The Challenge
- Transfers on WhatsApp: ₹4.6 lakh "in transit" unaccounted
- Stock checks meant calling five managers
- 22 staff, unauthorised discounts impossible to prove
The Solution
- Digital transfers with approval; both stores update
- One dashboard for 5 stores, down to SKU
- Every action tied to a person; owner approves discounts above 15%
- Transfer discrepancies after implementation
- 0
- Reduction in individual store stockouts
- 60%
- Saved in first quarter from better stock utilisation
- ₹2.1L
- Fewer weekly store visits needed
- 80%
Example scenario: the store, figures and quote are illustrative, not a specific customer's results.
RetailerOS gave me everything I needed at a fraction of what I expected. The multi-store dashboard changed how I run my business.
Grocery & Supermarket — ChennaiExample scenario
Supermarket Cuts Wastage by 40% with Expiry Tracking and Smart Reorders
2 locations · 4,000+ SKUs · 300+ transactions a day
The Challenge
- ₹45,000 a month of perishables expiring on shelves
- Staples (rice, oil, dal) out of stock 3–4 times a month
- Loose items weighed and priced by hand
The Solution
- Expiry alerts 14 days ahead for timely markdowns
- AI reorders from sell-through and supplier lead times
- Electronic scale integration for per-gram billing
- Reduction in perishable wastage
- 40%
- Saved from wastage reduction alone
- ₹54K/mo
- Fewer stockouts on fast-moving items
- 85%
- Faster checkout for weight-based items
- 2x
Example scenario: the store, figures and quote are illustrative, not a specific customer's results.
We used to throw away expired stock every week. Now RetailerOS alerts us two weeks ahead, and we markdown or push items before they expire. The savings paid for the software in the first month.
These are example scenarios. Store names, locations, figures and quotes are illustrative and do not describe specific customers. Actual results depend on store size, product mix and operating practice.
Ready to Write Your Own Success Story?
One store or a multi-city chain. Most stores go live in days.
Better systems for a more human world.
We're a team of six engineers, designers and strategists building systems together. Every business has layers, and every engagement has taught us how they connect. We engineer software that outlives the people who built it. If something here sounds like your business, we'd be glad to talk it through.