Looking for consulting engagements? Visit toc-flow.com

Book a Demo

Used Across Jewellery Apparel Electronics Eyewear Lifestyle

Your Stores Have the Stock.

Just Not the Right Stock.

Gulmohars helps multi-store retailers plan, allocate, and rebalance inventory at the SKU and store level. Using actual selling behaviour. Across Jewellery, Electronics, Apparel, Eyewear, Lifestyle, and more.

Rs.0 Crores of dead stock unlocked across 0+ stores
See It in Action: Book a 30-Min Session

Show me this for:

Hover over any card to see how Gulmohars solves it
⚠
Wrong Sizes in the Wrong Stores
Size XL sitting idle in metros while smaller towns sell out. Size curves vary by store cluster but allocations treat every store the same.
Hover to see the fix →
✓ Gulmohars
Size-Curve Intelligence by Store Cluster
Gulmohars analyses sell-through by size at each store and builds cluster-specific size ratios. Every allocation is sized to how that store's customers actually buy — not a network average.
⚠
Seasonal Stock Arriving Too Late
Winter collections reaching stores after peak demand. Summer clearance starting when the selling window has already closed.
Hover to see the fix →
✓ Gulmohars
Season-Aware Allocation Triggers
Gulmohars flags allocation windows based on your historical sell-through patterns and season start dates. Stock moves before the peak — not during it.
⚠
Dead Stock Killing Margins
Last season's styles taking up floor space and locking up crores. Markdowns eroding margins because inventory was not moved earlier.
Hover to see the fix →
✓ Gulmohars
Aged Stock Flagged at 30 Days
Gulmohars flags slow-moving SKUs at 30 days — not 90. Rotation recommendations go out while the stock can still move at full price, before it becomes a markdown problem.
⚠
Inter-Store Transfers Taking Weeks
Moving excess stock from one store to an under-stocked one requires days of approvals, WhatsApp coordination, and manual Excel tracking.
Hover to see the fix →
✓ Gulmohars
Transfer Decisions in Minutes
Every morning, Gulmohars identifies which SKUs to move, from which store, to which store, and in what quantity. Your merchandiser approves in one click. Execution the same day.
⚠
No Visibility Into What's Selling Where
Merchandising teams cannot see real-time sell-through by SKU and store. Decisions are made on last week's data, if that.
Hover to see the fix →
✓ Gulmohars
SKU-Level Visibility Across Every Store
Gulmohars surfaces sell-through by SKU, store, and cluster — updated daily. Your team sees what is selling, what is slowing, and where action is needed. Every morning, before the day starts.
⚠
Excel and WhatsApp Running Your Buys
Critical replenishment and allocation decisions made on spreadsheets and group chats. No audit trail. No speed. No system.
Hover to see the fix →
✓ Gulmohars
One System. Every Decision Tracked.
Every transfer, allocation, and replenishment recommendation is logged with context — who approved it, when, and what the outcome was. Full audit trail. No group chats needed.
⚠
High-Value SKUs Stuck in Low-Demand Stores
Premium laptops and flagship phones sitting in stores where footfall does not justify the working capital they consume.
Hover to see the fix →
✓ Gulmohars
Working Capital Rebalanced Daily
Gulmohars tracks inventory value by store against store-level throughput and flags high-value SKUs where the ROI does not justify the holding. Rebalancing recommendations go out the next morning.
⚠
Launch Stock Misallocated on Day One
New product launches allocated equally across the network but demand concentrates in specific geographies. Launch momentum is wasted.
Hover to see the fix →
✓ Gulmohars
Launch Allocation by Demand Geography
For new launches, Gulmohars uses analogous SKU sell-through patterns and store-level demand signals to recommend a weighted allocation — not an equal split. Launch stock goes where it will sell fastest.
⚠
Obsolescence Risk on Slow-Moving Models
Last-generation devices ageing in stores as newer models launch. Dead stock risk compounds with every passing week.
Hover to see the fix →
✓ Gulmohars
Obsolescence Flags Before It Costs You
Gulmohars monitors sell-through velocity and flags models that are slowing relative to their lifecycle stage. Rotation or markdown recommendations land before the SKU tips into dead stock territory.
⚠
Replenishment Lag on Bestsellers
Top-selling models stocking out at high-performing stores while excess sits elsewhere in the network. Revenue lost daily.
Hover to see the fix →
✓ Gulmohars
Auto-Replenishment Before Stockout
Gulmohars raises replenishment alerts when stock at a high-velocity store drops below a calculated threshold — before it stocks out. Orders are raised, or transfers triggered from stores with excess.
⚠
No SKU-Level Visibility Across the Network
Category managers cannot see which SKUs are moving fast, which are slowing, and where transfers need to happen until it is too late.
Hover to see the fix →
✓ Gulmohars
Network Intelligence Updated Daily
Every morning your category managers see a ranked view of SKUs by velocity — fastest movers, slowest movers, and which stores are out of balance. Action items, not data to interpret.
⚠
Allocation Based on Last Year's Numbers
Store-level orders based on historical averages rather than current selling velocity. The market has changed. The allocation logic has not.
Hover to see the fix →
✓ Gulmohars
Allocation Driven by Current Velocity
Gulmohars uses rolling sell-through windows, not last year's numbers. If a store's demand pattern has shifted, the allocation logic shifts with it — automatically, not at the next annual planning cycle.
⚠
Wrong Frame Styles in the Wrong Markets
Premium acetate frames sitting unsold in price-sensitive markets. Value frames under-stocked in metros where fashion eyewear demand is rising.
Hover to see the fix →
✓ Gulmohars
Style-Market Matching by Cluster
Gulmohars segments stores by price-point sell-through and style preference. Premium frames are allocated to stores where they actually sell. Value frames go where they move fastest. Not the same mix everywhere.
⚠
Lens-Frame Combination Mismatches
Right frames in stock, wrong lens options available. Customers walk out because the combination they want is not at that store.
Hover to see the fix →
✓ Gulmohars
Combination-Level Inventory Visibility
Gulmohars tracks frame-lens combination availability by store and flags imbalances — stores with frames but no matching lens range get a replenishment alert before the customer walks in and walks out.
⚠
Dead Stock in Seasonal Sunglasses
Post-summer, sunglass inventory that was not rotated becomes dead stock for 9 months, locking up capital in zero-velocity SKUs.
Hover to see the fix →
✓ Gulmohars
End-of-Season Rotation Before the Window Closes
Gulmohars tracks seasonal velocity curves and raises rotation recommendations 4 to 6 weeks before the selling window closes — while the stock can still move at full price or with minimal markdown.
⚠
Replenishment Too Slow for Fast Sellers
Bestselling frames stocking out before replenishment arrives. High-demand stores losing walk-ins while the network carries excess elsewhere.
Hover to see the fix →
✓ Gulmohars
Bestseller Replenishment Before Stockout
Gulmohars monitors stock levels against daily sell-through rate for every frame at every store. When stock is projected to run out within your defined threshold, a replenishment or inter-store transfer is raised automatically.
⚠
No Visibility Into Store-Level Sell-Through
Which frame styles are winning in South India vs. North? Which price points move in malls vs. high-street? No one knows fast enough.
Hover to see the fix →
✓ Gulmohars
Regional Sell-Through Broken Down Daily
Gulmohars surfaces sell-through by style, price band, and geography — updated daily. Your buying team sees exactly which styles are winning in which markets before the next order cycle, not after.
⚠
Manual Planning Across Hundreds of Stores
Allocation and replenishment decisions made manually across a large store network. Planners are overwhelmed. Errors are inevitable.
Hover to see the fix →
✓ Gulmohars
Network-Wide Decisions in One Morning View
Your planner opens Gulmohars each morning and sees a prioritised action list for the entire network — not hundreds of store reports to consolidate manually. The system does the aggregation. The planner makes the calls.
⚠
Regional Demand Patterns Ignored
Trekking gear allocated equally across India when 80% of demand concentrates in 6 cities. Coastal stores carrying products nobody there buys.
Hover to see the fix →
✓ Gulmohars
Demand-Weighted Regional Allocation
Gulmohars builds store clusters based on actual sell-through by category — not geography assumptions. Trekking gear goes to stores where it sells. Coastal stores get what their customers actually buy.
⚠
Seasonal SKUs Arriving Out of Window
Monsoon-ready products reaching stores after the rains have started. Winter collections arriving when the cold snap is already ending.
Hover to see the fix →
✓ Gulmohars
Season Timing Configured to Your Calendar
Gulmohars is configured with your seasonal windows by region. Allocation triggers fire before the season starts — not when the merchandising team remembers to check.
⚠
Dead Stock on Last Season's Styles
Previous season's footwear and apparel occupying floor space that should be driving current-season revenue. Markdowns eating margin.
Hover to see the fix →
✓ Gulmohars
Carry-Over Stock Identified and Rotated Early
Gulmohars flags carry-over SKUs by age and velocity. Rotation recommendations move slow stock to stores where it still has a chance to sell — before it requires a markdown to clear.
⚠
High-Value SKUs Under-Stocked at Key Stores
Premium footwear and equipment out-of-stock at top-performing locations while excess sits at lower-throughput stores.
Hover to see the fix →
✓ Gulmohars
Stock Pulled Toward High-Velocity Stores
Gulmohars continuously monitors stock-to-velocity ratios across the network and flags stores that are under-stocked relative to their throughput. Transfers are recommended before stockouts happen.
⚠
No Network-Wide View of Slow Movers
Merchandising teams cannot identify which SKUs are going stale across the network until stock-takes happen, quarterly at best.
Hover to see the fix →
✓ Gulmohars
Slow Movers Surface Daily — Not Quarterly
Gulmohars tracks velocity for every SKU at every store, every day. Slow movers appear in your morning dashboard automatically — flagged before they age past the point of recovery.
⚠
Inter-Store Transfers Happening Too Late
By the time slow stock is identified and transferred to a higher-demand store, the selling season is already over.
Hover to see the fix →
✓ Gulmohars
Transfers Triggered While the Season Is Still Live
Gulmohars flags transfer opportunities the moment a velocity gap opens between stores — not at month-end review. Stock moves while the selling window is still open.
⚠
Bridal Sets in the Wrong Cities
Heavy bridal jewellery sitting idle in metros while tier-2 wedding season demand spikes and those stores have nothing to sell.
Hover to see the fix →
✓ Gulmohars
Wedding Season Allocation by City and Cluster
Gulmohars is configured with your regional wedding calendars. Bridal stock moves to the right cities before the season spikes — not after your area manager calls to say the store is empty.
⚠
Allocation Based on Instinct, Not Data
Store managers ordering based on gut feel, not sell-through velocity. Every allocation is a gamble with crores of gold on the line.
Hover to see the fix →
✓ Gulmohars
Every Allocation Driven by Sell-Through Data
Gulmohars replaces gut feel with daily sell-through signals — by design, weight, and price point, at each store. Allocation recommendations are specific, reasoned, and consistent. The guesswork is removed.
⚠
Dead Stock Locking Up Crores
Rs.2 to 10 Cr worth of inventory per store sitting unsold for 90+ days. Capital trapped in slow designs. New stock cannot come in.
Hover to see the fix →
✓ Gulmohars
Dead Stock Caught at 30 Days, Not 90
Gulmohars flags designs that are slowing at 30 days — the point at which rotation is still possible at full value. By 90 days the capital is already locked. Gulmohars intervenes 60 days earlier.
⚠
Inter-Store Transfers Taking Weeks
Moving slow jewellery from one store to where it will sell requires weeks of WhatsApp messages and Excel back-and-forth.
Hover to see the fix →
✓ Gulmohars
Transfer from Weeks to Days
Gulmohars identifies the sending store, the receiving store, the designs to move, and the quantity — in one recommendation. Your merchandiser approves. Execution starts the same day. No WhatsApp chain required.
⚠
No Real-Time Visibility Across the Network
Merchandising teams cannot see what is selling where, by design, weight, or price point, until it is too late to act.
Hover to see the fix →
✓ Gulmohars
Design-Level Visibility Across Every Store, Daily
Gulmohars surfaces sell-through by design category, weight band, and price point — by store, by cluster, by region. Updated every day. Your team sees what is moving and where before the day begins.
⚠
Excel and WhatsApp Running the Business
Critical inventory decisions made on spreadsheets and group chats. No system of record. No speed. No accountability.
Hover to see the fix →
✓ Gulmohars
One System. Every Decision on Record.
Every transfer, allocation, and replenishment recommendation is logged — who raised it, who approved it, what the outcome was. Leadership can see network-wide action and accountability in one view. No more chasing updates on WhatsApp.
See It in Action: Book a 30-Min Session

Every day without the right stock in the right store costs you more than you think.

The Gulmohars Tool Is Live In:

Real-time inventory intelligence running across 495+ stores

Sound familiar? You're not alone. Every multi-store retailer in India is fighting the same battle. Most are losing.

If you run a multi-store retail business, you’ve lived these problems every single day.

Bridal Sets in the Wrong Cities

Heavy bridal jewellery sitting idle in metros while tier-2 wedding season demand spikes.

Guesswork-Based Allocation

Store managers ordering based on instinct — not data. Every allocation is a gamble.

Dead Stock Locking Up Crores

₹2–10 Cr worth of inventory per store sitting unsold for 90+ days. Capital trapped.

Slow, Manual Transfers

Inter-store transfers take weeks of WhatsApp messages and Excel back-and-forth.

No Real-Time Visibility

Merchandising teams can't see what's selling where — until it's too late to act.

Excel & WhatsApp Dependence

Critical inventory decisions made on spreadsheets and group chats. No system of record.

Every day without a system, you're leaving revenue on the table.

Retailers running 20 to 500 stores typically find Rs.8 to 40Cr in recoverable dead stock within the first 30 days of using Gulmohars.

Powered by Gulmohars

How much is dead stock
costing you?
I run
Stores
stores with
Avg Cr / Store
Cr average inventory per store.
Your dead stock estimate
Enter your numbers above
Senco Gold & Diamonds
Giva

Our Founder's Inventory Methodology Adopted by

Tanishq

CaratLane

Thangamayil

Kirtilal Kalidas

7,000+ stores optimized across India
Gulmohars — Feature Ticker
Smart Allocation
Auto Replenishment
Inter-Store Transfers
Aged Stock Rotation
Bestseller Identification
Real-Time Visibility
Dead Stock Elimination
SKU-Level Intelligence
Smart Allocation
Auto Replenishment
Inter-Store Transfers
Aged Stock Rotation
Bestseller Identification
Real-Time Visibility
Dead Stock Elimination
SKU-Level Intelligence

One Tool. Six Shifts.

What changes when Gulmohars runs daily

Without Gulmohars
With Gulmohars
01
Allocation based on store manager instinct and last year's numbers.
Smart Allocation
Daily SKU-level recommendations per store, driven by actual selling velocity.
02
Inter-store transfers take 2 to 3 weeks of WhatsApp and Excel.
Inter-Store Transfers
Transfer decisions made in minutes. Executed same day. Automatically logged.
03
Dead stock only identified at quarter-end when the damage is already done.
Aged Stock Rotation
Aged stock flagged automatically at 30 days and rotated before it becomes dead.
04
Bestsellers stock out at top stores while the same SKU sits idle elsewhere.
Auto-Replenishment
Auto-replenishment raises orders before stockouts happen, by SKU, store, price point.
05
No one knows what's selling where until it is too late to act on it.
Real-Time Visibility
Real-time SKU-level visibility across every store in your network. Every morning.
06
Critical inventory decisions running on spreadsheets and group chats.
Full Audit Trail
One system of record. Every transfer, allocation, and replenishment tracked and auditable.

Our Founder's Inventory
Methodology Has Been Adopted By:

Tanishq

Jewellery

CaratLane

Jewellery

Croma

Electronics

Peter England

Apparel

Louis Philippe

Apparel

Allen Solly

Apparel

Pantaloons

Fashion Retail

Max

Fashion Retail

EasyBuy

Fashion Retail

Titan EyePlus

Eyewear

Woodland

Lifestyle

Wildcraft

Outdoor & Lifestyle

KurlOn

Furniture

Uthiraman

D2C to Retail

Thangamayil

Jewellery

Kirtilal Kalidas

Jewellery

Across Electronics, Apparel, Eyewear, Lifestyle, Jewellery, and D2C sectors

"
We went from guessing allocations to knowing exactly what goes where. Planning time dropped by half.
VP Merchandising, Value Apparel Brand, 310 stores
Apparel
"
We used to find out a product was ageing in a store when the regional manager flagged it in a review meeting. Now we catch it at 30 days.
Head of Category Operations, Electronics Retail, 500+ stores
Electronics
"
Once we could see in the data how differently each store cluster behaves, we stopped treating every store the same. Returns dropped.
VP Retail Operations, Eyewear Retail Chain, 600+ stores
Eyewear

Proven with India's Leading Jewellery Brands

Senco Gold & Diamonds

185+ stores · NSE/BSE listed

Dead Stock Reduced
0 %

Sell-Through ↑
0 %

Faster Transfers
0 x

Planning Time ↓
0 %
Read Full Case Study

Giva

310+ stores · D2C-to-Retail brand

Dead Stock Reduced
0 %

Sell-Through ↑
0 %

Auto Transfers/Day
0 +

Planning Time ↓
0 %
Read Full Case Study

Free Retail Growth Checklist

FREE DOWNLOAD

Send download link to:

One Tool. Six Problems Solved.

From Guesswork
to Intelligence.

See what changes when your inventory decisions are driven by data, not instinct.

High-Value SKUs Stuck in Low-Demand Stores

Premium laptops and flagship phones are sitting in stores where footfall does not justify the working capital they consume.

HOVER TO SEE THE FIX
Gulmohars

Working Capital Rebalanced Daily

Gulmohars tracks inventory value by store against store-level throughput and flags high-value SKUs where the ROI does not justify the holding. Rebalancing recommendations go out the next morning.

Launch Stock Misallocated on Day One

New product launches are allocated equally across the network, but demand concentrates in specific geographies. Launch momentum is wasted.

HOVER TO SEE THE FIX
Gulmohars

Launch Allocation by Demand Geography

For new launches, Gulmohars uses analogous SKU sell-through patterns and store-level demand signals to recommend a weighted allocation - not an equal split. Launch stock goes where it will sell fastest.

Obsolescence Risk on Slow-Moving Models

Last-generation devices are ageing in stores as newer models launch. Dead stock risk compounds with every passing week.

HOVER TO SEE THE FIX
Gulmohars

Obsolescence Flags Before It Costs You

Gulmohars monitors sell-through velocity and flags models that are slowing relative to their lifecycle stage. Rotation or markdown recommendations land before the SKU tips into dead stock territory.

Inter-Store Transfers Taking Weeks

Moving excess stock from one store to an under-stocked one requires days of approvals, WhatsApp coordination, and manual Excel tracking.

HOVER TO SEE THE FIX
Gulmohars

Transfer Decisions in Minutes

Every morning, Gulmohars identifies which SKUs to move, from which store, to which store, and in what quantity. Your merchandiser approves in one click.

No Visibility Into What's Selling Where

Merchandising teams cannot see real-time sell-through by SKU and store. Decisions are made on last week's data, if that.

HOVER TO SEE THE FIX
Gulmohars

SKU-Level Visibility Across Every Store

Gulmohars surfaces sell-through by SKU, store, and cluster - updated daily. Your team sees what is selling, what is slowing, and where action is needed. Every morning, before the day starts.

Excel and WhatsApp Running Your Buys

Critical replenishment and allocation decisions are made on spreadsheets and group chats. No audit trail. No speed. No system.

HOVER TO SEE THE FIX
Gulmohars

One System. Every Decision Tracked.

Every transfer, allocation, and replenishment recommendation is logged with context -who approved it, when, and what the outcome was. Full audit trail. No group chats needed.

See All Features

Live in 30 Days. Not Months.

No 6-month implementation. No IT overhaul. Gulmohars works on top of what you already have.

01

Connect to Your ERP

SAP, Tally, Oracle, or custom — we plug into your existing system. No migration, no rip-and-replace.

02

Analyse Store-Level Demand

We crunch sales velocity, seasonality, wedding calendars, and regional preferences across every store.

03

Daily Actionable Recommendations

Your team gets specific, prioritized actions every morning — what to allocate, transfer, and replenish.

Book a Discovery Call

Built for Jewellery. Proven Across Retail.

Our inventory optimization methodology works across any multi-store retail vertical.

Eyewear

Apparel

Consumer Goods

F&B

Electronics

Let's Talk About Your Inventory

A Methodology Trusted by India's Biggest Jewellery Brands

Our founder spent over a decade at Goldratt Consulting, implementing the Theory of Constraints across India’s largest jewellery retailers. Gulmohars is the evolution of that proven methodology — now delivered as an intelligent, automated tool.

 

Our Founder's Inventory Methodology Adopted by

Tanishq

CaratLane

Thangamayil

Kirtilal Kalidas

These brands adopted our founder’s methodology — Gulmohars is the tool that now automates it.

  • Featured Speaker at CII, RAI
  • 15 Years in Retail Inventory
  • 7,000+ Stores Optimized

A Partner From Day One. Live in 6 Weeks

No big IT project. No rip-and-replace. We work in parallel with your business and IT teams so that when the data is ready, your team already knows exactly what to do with it.”

01

WE LEARN YOUR BUSINESS FIRST

Before touching your data, we sit with your merchandising and planning teams to understand your data - store clusters, seasonal patterns, and the inventory problems costing you the most right now

02

WE CONFIGURE THE INTELLIGENCE TOGETHER

We define your replenishment triggers, aged stock thresholds, transfer logic, and priority KPIs with your team, not for your team. Every parameter reflects how your business actually operates.

03

YOUR TEAM WAKES UP KNOWING WHAT TO DO

Every morning, your merchandising team receives specific, prioritised actions: what to allocate, transfer, and replenish. No interpretation needed. No guesswork. Just decisions, ready to execute.

Request a Consultation. No Commitment

A Partner From Day One

Live in 6 Weeks

No big IT project. No rip-and-replace. We work in parallel with your business and IT teams so that when the data is ready, your team already knows exactly what to do with it.

Week 1 Week 2 Weeks 3–4 Week 5 Week 1 Week 2 Weeks 3–4 Week 5 Week 6 Live BUSINESS IT
⏱
Note on Weeks 3–4: The data extraction timeline varies by client — typically one to three weeks depending on ERP complexity and IT team bandwidth. We have never had an implementation delayed on our side.
🔍
What About Messy Data?

Most multi-store retail ERPs have gaps: inconsistent SKU codes, missing transfer records, fields that were set up incorrectly years ago and never fixed. We know this before we start. In Weeks 3 to 5, we work through your data with your IT team and agree on how each scenario will be handled. This is documented and becomes part of your configuration.

Here is something worth remembering: today, without Gulmohars, your decisions are also being made on this messy data, just without any system flagging the gaps. Gulmohars makes the gaps visible, standardises how they are handled, and gives your team a process to close them. Most clients find their data quality improves significantly within the first three months simply because the gaps are now visible.

We will tell you honestly what we can produce with the data you have, before Week 6, not after.

Most implementations fail because the tool is ready before the business is. We build both tracks simultaneously so when the data is live, your team already knows exactly what to do with it.

We start with your business, not your data. We map your store clusters, peak seasons, and the inventory problems costing you the most, before a single data request is made.
With your merchandising team, we decide which problem to solve first. Bestseller identification, variety planning, or aged stock rotation. This becomes your first live screen in Week 6.
We work with your planning team to define intermediate milestones so the output your team sees in Week 6 is immediately actionable, not a dashboard that needs interpreting.
We finalise the KPIs your leadership team will track, the thresholds that trigger alerts, and the logic that drives daily recommendations. Configured to your business, not to a default template.
We map exactly what data we need from your ERP: store location details, product details, sales data, inventory positions, transfer history. You receive a precise field-level specification. No ambiguity for your IT team.
A structured data request goes to your IT team with a template, field definitions, and a sample output. Their job is made as clear as possible from the start.
Your IT team extracts and shares the data. Timeline here depends on their bandwidth, typically one to three weeks. We stay available to unblock questions the same day they arise.
We test the data thoroughly, flag any quality issues, and work directly with your IT team to resolve them. Clean data in means clean output out.
Both tracks meet here. Your team knows what to look for. Your data is clean and live. Your first Gulmohars output is immediately useful, not a starting point for a three-month learning curve.
Gulmohars — Morning Intelligence Dashboard
app.gulmohars.com/morning-brief — Sunday, 22 Feb 2026
Daily Actions
☀️ Morning Brief 47
🔁 Transfers 18
📦 Replenishment 14
⏳ Aged Stock 15
Intelligence
🏆 Bestsellers
📊 Sell-Through
🗺️ Store Map
Network
🏪 All Stores
⚙️ Parameters
Viewing network
All 48 Stores

Good morning, Priya. Here's today's brief.

Sunday, 22 February 2026 · 47 actions require attention across 48 stores
Network Live
PK
Transfer Moves
18
SKUs to rebalance today
Replenish Now
14
Stores below reorder point
Aged Stock Flags
15
SKUs past 45-day threshold
Est. Revenue Risk
₹1.4Cr
Recoverable if acted today
🔁 Transfer Recommendations 18
📦 Replenishment Alerts 14
⏳ Aged Stock 15

🔁 Transfer Recommendations — 18 moves today

Export all →
SKUFromToUnitsPriority
Slim Fit Chinos — Navy
APP-CHN-032-NVY-32
Koramangala
→ Indiranagar
24 units
High
Formal Shirt — White Oxford
APP-SHT-017-WHT-40
HSR Layout
→ MG Road
16 units
High
Relaxed Linen Trousers — Beige
APP-TRS-045-BGE-34
Whitefield
→ JP Nagar
11 units
Medium
Polo T-Shirt — Forest Green
APP-POL-009-GRN-L
Electronic City
→ Jayanagar
8 units
Medium

📦 Replenishment Alerts — 14 stores below reorder point

Export all →
SKUStoreStock LeftReorder Qty
Slim Fit Jeans — Dark Indigo
APP-JNS-021-DIN-30
MG Road
2 units
30 units
Cotton Crew Neck — White
APP-TEE-003-WHT-M
Indiranagar
5 units
24 units
Formal Blazer — Charcoal
APP-BLZ-011-CHR-42
Koramangala
4 units
18 units

⏳ Aged Stock Flags — 15 SKUs past threshold

Export all →
SKUStoreDays in StoreUnitsSell-Thru
Wool Blend Overcoat — Camel
APP-OCT-028-CML-40
Whitefield
91d
22 units
8%
Printed Kurta — Rust
APP-KRT-044-RST-L
Electronic City
68d
17 units
19%
Linen Shirt — Sage Green
APP-SHT-033-SGE-38
HSR Layout
57d
13 units
24%
How Gulmohars Reaches Your Team Every Day
Step 1
Weekly Automated Emails
Every week, Gulmohars automatically sends reports to your key stakeholders: bestsellers that need ordering, aged stock sitting in stores, SKUs that need to move to another location. The right information reaches the right person without anyone pulling a report.
Step 2
Live Dashboard Access
Any authorised user can log in at any time and view updated reports across all inventory aspects of the business. The dashboard surfaces the highest-priority actions first, so your team is never searching for what matters.
Step 3
Maker-Checker Approval
Gulmohars makes the recommendation. Your merchandiser reviews and approves it. Once your team is comfortable with the logic, recommendations can be set to trigger automatically, removing the approval step for decisions your team trusts completely.
Step 4
Leadership Oversight
Your leadership team receives a usage report showing which users have logged in, what actions have been taken, and what the ordering looks like across the network. Full visibility. No black box.
Some clients go one step further: they configure Gulmohars to write processed recommendations directly back into their ERP. This means decisions flow seamlessly into their existing systems without manual re-entry.

Your Data Never Leaves Your Control

Gulmohars is hosted on your server, not ours. Your IT team owns the infrastructure. We operate as administrators on your environment, which means your sales data, inventory records, and configuration settings always remain within your company’s systems. For clients with additional security requirements, Gulmohars can be configured for intranet-only access, ensuring the tool is never reachable from outside your network.

Every engagement is backed by a strong NDA. Client data is never shared, never used to inform recommendations for other clients, and is accessible only to users your organization authorizes. Gulmohars is compliant with secure code review and VAPT testing standards.

Hosted on your server VAPT tested NDA protected Intranet-configurable

Built Different.
By Design.

Most inventory tools are built for everyone. Gulmohars is built for you — the multi-store retailer who can't afford to guess.

Gulmohars is NOT
The usual
SaaS dashboard.
✕
A self-serve dashboard your team figures out alone
✕
A six-month IT implementation with a go-live and goodbye
✕
A generic tool built for every retailer and optimised for none
"We've seen what generic looks like.
It costs you more than you think."
Gulmohars IS
A partner built
around your stores.
✓
Configured specifically for how your business operates
✓
Guided by a team that has optimised inventory across 7,000+ stores
✓
An ongoing partnership that stays accountable to your results
See it for your stores. No generic demos — we show you your data.
The Founder

Built by Someone Who Has
Been Inside Your Stores.

Ritesh Kapur spent 20 years optimising inventory across India's largest retailers, as Principal at Goldratt Consulting and founder of TOC Flow Consulting. Gulmohars is the product built from that experience.

IIM Calcutta MBA Goldratt Consulting — 9 years 7,000+ stores optimised Electronics · Apparel · Jewellery · Eyewear · Lifestyle

The methodology behind Gulmohars was adopted by Tanishq, Croma, Peter England, Pantaloons, Titan EyePlus, Woodland and more — before it became a product.

Read the full journey →
Pricing

Straightforward Pricing.
No Guesswork.

No month-long proposals.
No vague estimates.
01

Pricing is based on your store count, the scope of the engagement, and the timeline we agree together. We share a ballpark range in the first call.

02

Before we can give a specific number, we need to understand who will lead this engagement, resource availability during configuration, and whether your team can execute on recommendations — not just receive them.

03

Once we have alignment on governance, timelines, and resourcing, a specific number follows quickly. These factors directly affect the scope and the price.

The first call costs nothing.
The number comes before you commit to anything.
Book a Call to Get Your Number →

Tell us your store count and we'll show you exactly how much dead stock you're carrying, before you commit to anything

Request a Consultation. No Commitment