How long does a pilot deployment take?

Systems are driven by configuration rather than heavy custom coding. Picklist waves, store layout zones, and scan rules are set up in hours. A full pilot store go-live typically takes 8 weeks.

How does Increff manage catch-weights, fresh produce, and meats?

The software supports granular zone hierarchies down to specific bays for ambient, chilled, frozen, fruits & vegetables, and butcher counters. Catch weight variances are recorded at the scan, and multi-zone orders automatically consolidate at drop zones prior to rider pickup.

What hardware is required for store pickers?

The picker interface runs on standard, low-cost Android handheld devices. It features full dual-language support (English and Arabic) to ensure quick adoption by store teams.

Can the software manage both retail stores and dedicated dark stores?

Yes. The platform uses identical workflows, apps, and inventory logic across retail store floors, backroom staging areas, and dedicated dark stores, including specialized GRN, put-away, and cycle counting tools.

AI Demand Planning Software for Retail

Customer Voices

Nothing speaks louder than the success of our clients in their own words. Here’s what industry leaders have to say
about partnering with Increff:

Bouwe Hendriksen

Senior Project Manager, PUMA Retail Europe

“Increff's dedicated and hands-on support enabled us to initiate the roll-out of their tool to our merchandise team and stores. Increff's tool has streamlined our processes, allowing us to adhere more closely to the core principles of retail allocation: the right quantity, at the right place, at the right time.”

Ajit Hawa

Head of Merchandise Planning, Sharaf Retail, UAE

“Increff has been very helpful- The tool brings many things on a platform to help decision making easier. BI dashboard, Open to Buy, Mark down, Replenishment & Concept of true ROS helps the retail business to go on with their day to day operations in no time.”

Gaurav Sharma

Director - Merchandising, Adidas India

“Increff's recommendations basis true ROS, stores' capacities, transfer time & cost, etc. have brought positive results by significantly improving ROS. Tool is accurate, saves man-hours and has the potential to impact conversions & markdown positively.”

Vinay Bansal

Managing Director, Birkenstock India

"Birkenstock India deployed Increff's Merchandising platform to unify inventory visibility across all channels. The result: real-time stock accuracy, improved fulfillment speed, and scalable allocation and replenishment managed end to end by a single connected platform."

“Rated 4.5+/5 on G2 & Gartner”

Core Operational Challenge

The Symptom & Impact

How Increff Solves It

Rigid Planning Algorithms

Fixed planning logic struggles to adapt to business needs, leading to manual workarounds.

Customizable Algorithms: Adapt reusable algorithm blocks with no-code/low-code tools or an AI co-pilot.

Disconnected Review Processes

Fragmented reviews slow approvals and make ownership unclear.

Multi-Level Approvals: Configure review workflows to improve collaboration and accountability.

Complex Scenario Evaluation

Comparing plans across competing KPIs makes it difficult to identify the best option quickly.

Scenario Comparison: Compare planning scenarios using weighted KPI scorecards for faster decisions.

Manual Planning Workflows

Repetitive workflow setup and output reviews leave less time for strategic decisions.

Intelligent AI Agents: Automate workflow creation, review outputs, and generate personalized recommendations.

How Can Increff’s Merchandising Platform Transform Your Planning?

Financial Planning
Connect demand forecasting, merchandise financial planning, and OTB/WSSI management, aligning sales, stock, and buying budgets to keep financial goals on track.
Assortment Planning‍
Build store-specific ranges with range architecture, buying, and reordering, so your product mix reflects customer demand and proven sellers stay available.
Inventory Distribution‍
Coordinate allocation and replenishment, inter-store and warehouse transfers for moving stock where it’s needed and clearing slow sellers while protecting margins.
Markdown Optimization
Plan targeted discounts based on sales performance and inventory ageing—helping clear slow-moving stock while protecting margins.

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Frequently Asked Questions

How is AI transforming the merchandising industry?

AI is moving merchandising beyond static forecasts and spreadsheets to faster, demand-led decisions. Increff connects forecasting with buying, allocation, replenishment and pricing, while AI agents review plans and recommend actions keeping planners in control.

What is the best AI software for demand planning and merchandising in fashion retail?

The best software understands fashion’s short seasons, new styles and store-level size requirements and connects forecasts to action. Increff is purpose-built for fashion and lifestyle retail, bringing demand planning, assortment, buying and inventory optimization into one platform.

How do I reduce stockouts, overstock and markdowns using AI?

Use AI to align buying and replenishment with local demand, replenish bestsellers and move slow-selling stock to stores where it can sell. Increff connects these decisions, helping improve availability, reduce excess inventory and sell more at full price before markdowns become necessary.

How does AI forecast demand and decide how much stock each store gets, down to style, color and size?

Yes. Increff uses product attributes and comparable styles to estimate demand for new launches, refining forecasts as sales emerge. It complements rather than replaces your ERP: your ERP records transactions, while Increff adds specialized intelligence for what to buy, where to place it and when to replenish.⁠

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