
Co-Pilot
Empower every role, from store manager to CEO, with Increff Co-Pilot
Delivers comprehensive business performance analysis and KPI tracking with AI-driven visual dashboards that enable fast decision-making
Access tailored Business Intelligence Dashboards with customized reports, filters, and KPIs designed specifically for your operational role
Talk to an Expert4X
Improvement in operational efficiency
100%
Automated decision-making
0%
Human Errors
100%
Accuracy in data representation
Co-Pilot for intelligent merchandising decisions
Top/Bottom Seller Style Performance Dashboards
Dead Style Reports
Role-Specific Dashboards Insights
Stock vs Sales Analysis
Discover Our Co-Pilot in Action
View More Case Studies
This case study reveals how Increff’s robust solutions are helping global brands not just keep up, but get ahead. First, discover how Increff revolutionized a leading Indian fashion retailer, helping them slash their buying cycle from a sluggish six months to a dynamic one month, enabling weekly fresh drops and unparalleled agility.
Then, learn how a world-renowned sports and lifestyle brand used Increff to power its rapid global expansion—from its initial partnership in India to a lightning-fast rollout at its European headquarters in just two months. This is more than just inventory management. It’s a look into the future of retail.

It’s almost impossible to sell deadstock after an EOSS sale. WRONG.
We, at Increff found a way. We recently helped a brand not only sell its excess stock, but do so profitably, while optimizing inventory health, and logistical costs. Want to know how?

Case Studies
Hirawats achieves 36% revenue growth and 2x inventory turnover with Increff’s Merchandising SoftwareHirawats is a retail business based in Visakhapatnam, Andhra Pradesh, India, that caters to a diverse customer base with its fashionable yet affordable products. With multiple outlets spread across different regions, the brand sought to improve its sales and inventory management. To achieve this, the brand implemented Increff’s Merchandising Software, which utilizes intelligent algorithms to analyze past sales data and inventory information. As a result, Hirawats experienced 36% increase in revenue
49% surge in sales quantities
85% reduction in season planning time
2X of inventory turn.
Unified Fulfillment
Fulfill orders across D2C, e-commerce, quick commerce, marketplaces, wholesale, and offline retail from a single WMS platform.
End-to-End Operations
Manage high SKU variety, large inventory volumes, all order types, and channel-specific needs with robust receiving, putaway, picking, packing, dispatch, and returns workflows.
Effortless Scalability
Easily scale to multiple fulfillment centers, dark stores, mother hubs, and regional warehouses from a single WMS instance.
Marketplace Excellence
Boost performance on every marketplace with seamless fulfillment, top seller ratings, and zero penalties.
Quicker decision-making through AI-based business dashboards
- Visual Data Storytelling
- AI-driven actionable insights
- Smart Persona-based analytics
- Advanced Dashboard Analytics & Reporting
Visual Data Storytelling
- Interactive Dashboards: Visually engaging reports like Business Pulse and Merchandise Analytics, combining online and offline sales data.
- Executive-Ready Reports: Professional visualizations with summaries, trends, and target vs achievement dashboards for board presentations.
- Catalog-Style Insights: Top/Bottom Seller reports with product images and KPIs to highlight winning and underperforming styles.
- Granular Excel Downloads: Detailed exports for style performance, time-period comparisons, and weekly sales beyond UI capabilities.
AI-driven actionable insights
- AI-Powered Analytics: Automatically generates insights, identifies patterns, and provides predictive forecasts without requiring specialized data science expertise.
- Automated Recommendations: Gets you precise, automated stock recommendations that specify exact quantities, pricing adjustments, and inventory actions based on recent sales velocity, stock levels, and performance analytics.
- Sophisticated data modeling: Apache Superset helps process diverse retail data through patented algorithms to produce strategic insights.
Smart Persona-based analytics
- For CXOs/CFOs: Revenue vs targets, margin analysis, profitability dashboards.
- For Merchandisers: Category performance, sell-through rates, inventory health, style KPIs.
- For Store Managers: Real-time sales, stock availability, and store-specific KPIs.
- For Buyers & Planners: Buying pipeline visibility, allocation strategy, seasonal buy plans.
Advanced Dashboard Analytics & Reporting
- Self-Serve Analytics: Easily create your own dashboards from pre-configured datasets using a simple drag & drop interface—no technical expertise needed.
- Bestseller Dashboard: Identify your top-selling styles at a company level by comparing performance across offline stores and e-commerce channels.
- Multi-Brand Visibility: Access both brand-level and consolidated insights for multi-brand portfolios, eliminating the need for manual data merging.
- Transaction Summary: Quickly verify if sales and inventory data are current and accurate before running advanced analytics, ensuring reliable outputs.
- Store-Style Performance: Track how specific styles perform over different time periods with detailed store-level metrics to spot trends and gaps.
Plug and Play with our other
Merchandising Solutions
Allocation and Replenishment
Reduce loss of sales and overstocking due to unavailability, size cuts, and stock-outs by ensuring smart, data-driven allocation and replenishment
Markdown Optimization
Boost sales and margins by leveraging real-time style and stock data for targeted, data-driven discount suggestions
Regional Utilization
Fulfill local demand faster and reduce last mile delivery costs with optimized inventory distribution across all multi-warehouse and darkstore networks.
Co-Pilot
Improve over 4x operational efficiency with intelligent reports and visual dashboards, enabling exception-based decision making.
- Allocation and Replenishment
- Markdown Optimization
- Regional Utilization
- Co-Pilot

.webp)
.webp)




.webp)













