Used Across Jewellery Apparel Electronics Eyewear Lifestyle
Your Stores Have the Stock.
Just Not the Right Stock.
₹17 Cr unlocked for Senco Gold
across 450+ stores in 6 months.
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.457 Crores of dead stock unlocked across 450+ stores
Who this is for
- Multi-store retailers (50+ stores) struggling with dead stock and inter-store imbalances.
- Merchandising heads who want to move from manual Excel guesswork to SKU-level data.
- Jewellery, Apparel, and Lifestyle brands with high-value or seasonal inventory complexity.
Who this is not for
- Single-store owners where visual management is more efficient than algorithmic planning.
- Pure-play E-commerce brands that don't deal with the complexity of physical store distribution.
- Teams not ready for automation and preferred staying with traditional, manual workflows.
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.
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✓ 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.
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✓ Gulmohars
Aged Stock Flagged at 6 Weeks
Gulmohars flags slow-moving SKUs at 6 Weeks — 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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.
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✓ 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 6 Weeks, Not 90
Gulmohars flags designs that are slowing at 6 Weeks — 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.
Every day without the right stock in the right store costs you more than you think.
50+
Retail Brands
500+
Stores Optimised
8+ Years
Retail Experience
20–35%
Inventory Improvement
The Gulmohars Tool Is Live In:
Real-time inventory intelligence running across 450+ 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 6 Weeks 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
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No spam. Only valuable insights.
Our Founder's Inventory Methodology Adopted by
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 6-week 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.
One Tool. Six Shifts.
What changes when Gulmohars runs daily
Without Gulmohars
Allocation based on store manager instinct and last year's numbers.
With Gulmohars
Daily SKU-level recommendations per store, driven by actual selling velocity.
Without Gulmohars
Inter-store transfers take 2 to 3 weeks of WhatsApp and Excel.
With Gulmohars
Transfer decisions made in minutes. Executed same day. Automatically logged.
Without Gulmohars
Dead stock only identified at quarter-end when the damage is already done.
With Gulmohars
Aged stock flagged automatically at 6 Weeks and rotated before it becomes dead.
Without Gulmohars
Bestsellers stock out at top stores while the same SKU sits idle elsewhere.
With Gulmohars
Auto-replenishment raises orders before stockouts happen, by SKU, store, price point.
Without Gulmohars
No one knows what's selling where until it is too late to act on it.
With Gulmohars
Real-time SKU-level visibility across every store in your network. Every morning.
Without Gulmohars
Critical inventory decisions running on spreadsheets and group chats.
With Gulmohars
One system of record. Every transfer, allocation, and replenishment tracked and auditable.
"
We went from guessing allocations to knowing exactly what goes where. Planning time dropped by half.
Rahul Sharma, Head of Merchandising, Senco Gold
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,
Leading Electronics Retail Chain, 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
"
We stopped overstocking slow sellers and focused on what actually moves. Sell-through improved noticeably.
Head of Merchandising, Menswear Chain, 220 stores
Menswear
"
Earlier, every store looked the same on paper. Now we tailor inventory based on local demand patterns.
Category Head, Lifestyle Retail Brand, 180 stores
Lifestyle
"
Large inventory used to sit for months. Now movement is tracked weekly and decisions are faster.
Operations Director, Furniture Retail Chain, 95 stores
Furniture
"
For the first time, we have clarity on which designs perform across stores. Decisions are no longer guesswork.
Retail Head, Jewellery Brand, 140 stores
Jewellery
Proven with India's Leading Retail Brands
Senco Gold & Diamonds
450+ stores · NSE/BSE listed
Dead Stock Reduced
0
%
Across 185 stores over 6 months, measured against prior 12-month baseline.
Sell-Through ↑
0
%
Faster Transfers
0
x
Planning Time ↓
0
%
For a 185-store chain with Rs.3Cr average
store inventory, a 32% reduction in dead stock means Rs.178 Crores of capital freed up.
Free Retail Growth Checklist
Send download link to:
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.
Featured speaker at CII and RAI
What your team sees every morning
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.
Part Tool. Part Expert Partner. Fully Accountable.
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
CONFIGURED FOR YOUR BUSINESS
Gulmohars is not a generic tool. It is configured to reflect how your business actually operates across stores, categories, and price points.
WE DEFINE THE KPIs THAT MATTER TO YOU
We work with your team to define the right metrics, ensuring decisions are driven by meaningful data, not vanity numbers.
WE STAY IN THE ROOM
We don’t just set up the system and leave. We stay involved, helping your team interpret insights and act on them consistently.
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.
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."
It costs you more than you think."
Gulmohars IS
A partner built
around your stores.
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.
Pricing
How We Price.
No month-long proposals.
No vague estimates.
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 30-minute call →
The number comes before you commit to anything.
Implementation runs for 6 weeks — see the full timeline on How It Works.
Latest Insights
In multi-store retail, having data is not the problem—knowing what to do with it is. Teams often spend hours analyzing reports, yet still struggle to translate insights into clear actions. This delay leads to missed opportunities and inconsistent decisions across stores.
In multi-store retail, knowing how much stock you have is not enough. The real question is: how long will that stock last? Without this clarity, teams either overstock products that don’t move or run out of high-demand items.
In multi-store retail, not all products perform equally. Some collections drive consistent demand, while others vary significantly across stores, regions, and customer segments. Without clear visibility into category and collection performance, planning becomes inconsistent and reactive.
What Our Clients Say
"We moved from guesswork to structured allocation decisions, and within weeks our sell-through improved across stores without increasing overall inventory levels."
Amit Mehra
Head of Merchandising, National Jewellery Chain
"We moved from reactive transfers to structured planning, and within weeks our inventory flow improved across stores without increasing overall stock exposure."
Rohan Khanna
Retail Operations Lead, Multi-Store Jewellery Brand
"We moved from manual tracking to structured visibility, and within weeks our stock movement improved across stores without increasing total inventory investment."
Neha Kapoor
Category Head, Large Format Jewellery Retailer
Why Now?
With major retail events like Akshaya Tritiya, the Wedding Season, and Diwali approaching, now is the time to optimize your inventory for high-demand periods.
Ensure your business is prepared for the rush by implementing smarter stock allocation and planning ahead of these critical retail moments.
Don’t let stock-outs or inefficiencies affect your performance during these key shopping seasons.
Frequently Asked Question
What kind of brands do you work with?
We work with multi-store retail brands, primarily in jewellery, apparel, eyewear, and similar categories where inventory allocation across locations is critical. Our focus is on businesses managing multiple stores and significant inventory investments.
What does a typical engagement look like?
A typical engagement begins with understanding your current inventory flow, store performance, and allocation patterns. We then set up structured tracking, define key metrics, and implement a system to improve allocation decisions across stores. The process is collaborative and evolves with your business.
How long before we see results?
Most retailers begin to see early improvements within a few weeks, especially in visibility and decision-making. Measurable impact on sell-through and inventory movement typically becomes clearer over the first 1–3 months.
What is the pricing model?
Pricing depends on the scale of your operations, including number of stores and inventory size. We follow a transparent, engagement-based pricing model aligned with the value delivered, rather than a one-size-fits-all approach.
Do you work with brands outside India?
Yes, we work with retail businesses outside India as well. The core principles of inventory optimisation remain the same, and our approach can be adapted to different markets and operating structures.
Do you replace our existing ERP or systems?
No. Gulmohars works alongside your existing systems. We focus on improving how inventory decisions are made using your current data, rather than replacing your ERP or operational tools.
What makes Gulmohars different from traditional inventory tools?
Most tools focus on reporting. Gulmohars focuses on decision-making. We help you understand what actions to take, where to move inventory, and how to improve allocation across stores in a structured, ongoing way.