Gulmohars company logo – Inventory Intelligence for Multi-Store Retail.
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From raw data to store-level decisions
in four steps.

No data science team required. No months-long implementation.
Your planning cycle, made precise.

Connect Data

Unify all store and inventory data in one place.

Analyse

See what’s selling and where gaps exist.

Plan

Make smarter allocation and transfer decisions.

Act

Execute actions with clear recommendations.

Step 1

Connect Your Data

Share your sales history, current stock data, and product master to create a unified view across your stores. Gulmohars accepts structured Excel uploads or direct database connections for seamless integration. This ensures consistent, reliable data for accurate planning and decision-making.

What format does the data need to be in?

Upload data via Excel (CSV/XLSX) or connect your database directly.
We require four simple tables: Sales, Inventory, Product Master, and Store Master, with consistent IDs across all files.

Object

Required Fields

Format

Frequency

Sales

SKU Code, Store Code, Date, Quantity, Net Amount

CSV / XLSX

Daily

Inventory

SKU Code, Store Code, Stock-in-Hand, Stock Value

CSV / XLSX

Daily

Product Master

SKU Code, Category, Collection, Style, Size

CSV / XLSX

One-time / Updates

Download Sample Template
Diagram showing data from a laptop system and Excel file flowing into Gulmohars for inventory planning.
Step 2

Analyse Your Network

Gulmohars analyses your network at a store and SKU level to reveal how inventory is performing across locations. It evaluates velocity, detects exceptions, and applies forecasting to identify gaps, risks, and priorities. This enables faster, accurate decisions across stores.

Does this work for jewellery and apparel both?

Yes. Gulmohars is built for both jewellery and apparel retailers.
It handles category-specific needs like size, style, collections, and seasonal demand while keeping planning consistent across stores.

Category

Key Attributes

Planning Focus

Jewellery

Design, Weight, Purity, Collection

Depth planning, assortment balance, high-value stock control

Apparel

Size, Style, Color, Season

Size curves, trend alignment, seasonal demand planning

Download Sample Template
Infographic of a store network showing inventory transfer recommendations from surplus stores (green) to those with shortages (orange) or critical needs (red).
Step 3

Review Recommendations

Your planner receives store-by-store recommendations covering transfers, allocations, and hold actions. Each recommendation includes clear rationale and expected coverage impact to support confident decisions. Teams can review, adjust, or override actions before execution.

Can my team override recommendations?

Yes. Your team can review, adjust, or override any recommendation before execution.
Gulmohars supports human decisions alongside system insights, so you stay in full control.

Aspect

Capability

Control Level

Decision Support

System provides insights alongside human decisions

Assisted Control

Flexibility

Decisions can be modified without breaking consistency

High Flexibility

Auditability

All overrides are visible and trackable

Transparent

Download Sample Template
Inventory recommendation dashboard showing store-wise SKU transfers, quantities, coverage gaps, and priority levels.
Step 4

Execute and Track

Approved transfers and distributions are executed through your warehouse team based on final recommendations. Performance is tracked continuously, with updated sell-through data feeding into the next planning cycle. This creates a consistent, repeatable loop for ongoing optimization.

How often does the planning cycle run?

Planning is fully flexible. You can run it daily, weekly, or on demand, depending on how frequently your inventory changes.

Most teams follow a weekly planning rhythm, with the ability to refresh decisions anytime as new data comes in.

Mode

Frequency

When to Use

Flexibility

Daily

Every day

High-change environments, fast-moving categories

High

Weekly

Once per week

Standard planning rhythm for most retail teams

Balanced

On-Demand

As needed

Promotions, events, or sudden demand changes

Maximum

Download Sample Template
Weekly inventory planning cycle showing export plan, warehouse dispatch, and review process for multi-store retail.

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.

ERP / System

󠁯•󠁏 Any ERP (SAP, Tally, Oracle, etc.)

󠁯•󠁏 Or Excel / CSV exports

󠁯•󠁏 Database connection (optional)

Minimum Required Data

  • Sales (5 fields): SKU Code, Store Code, Date, Quantity, Net Amount
  • Stock / Inventory (4 fields): SKU Code, Store Code, Stock-in-Hand, Stock Value
  • SKU / Product Master (6 fields): SKU Code, Category, Collection, Style, Size, Price
  • Store Master (4 fields): Store Code, Store Name, City, Cluster

Sample Template

Download a ready-to-use format to structure your data correctly.
Download Sample Template

Implementation Responsibilities (RACI)

Task Client IT Team Gulmohars Team
Data Extraction & Sharing Responsible (R) Consulted (C)
Data Validation & Cleaning Consulted (C) Responsible (R)
System Setup & Configuration Informed (I) Responsible (R)
Integration Responsible (R) Accountable (A)
Testing & Validation Responsible (R) Responsible (R)
User Training Informed (I) Responsible (R)
Go-Live Accountable (A) Responsible (R)
Post-Go-Live Support Consulted (C) Responsible (R)

R = Responsible | A = Accountable | C = Consulted | I = Informed

Implemented in 6 Weeks

Trusted by retail brands that went live quickly

6 weeks

5 weeks

6 weeks

4 weeks

6 weeks

Setup time for a standard implementation
0 weeks
Minimum sales history required
0 weeks

Weekly

Standard planning cycle cadence

Download the Implementation Playbook

See how retailers go live in 6 weeks with Gulmohars

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