Track every bin, batch, and barcode in real-time—from inbound to outbound, across all zones
AI analyzes past sales, regional trends, customer preferences, and inventory turnover to recommend ideal product assortments by store, season, or channel
Machine learning predicts demand at SKU/store/week level based on weather, events, footfall, and trend patterns.
The ERP recommends optimal order quantities, vendor choices, and pricing windows based on sales velocity and margins.
Usage : From gate-in to putaway, and from picking to dispatch, WMS automates task assignments, load balancing, and validations.
Impact : Faster throughput, reduced errors, and smooth dock-to-stock operations.
Usage : Orders are grouped by shipping method, zone, or SKU similarity to allow parallel picking and shipping efficiency.
Impact : Reduces picker travel, maximizes labor utilization, and speeds up dispatch.
AI suggests the best time, location, and percentage for markdowns to minimize loss and maximize clearance
Smart allocation engines distribute stock based on real-time sales, store profiles, and performance forecasts
Merchandisers track top-performing SKUs, brands, and vendors across time, category, and geography
AI scrapes market signals, social media, and sales to suggest emerging trends and product gaps
Usage : AI analyzes SKU movement data and recommends layout improvements for fast-moving and slow-moving items.
Impact : Increases space utilization and reduces congestion in high-traffic zones.
Usage : Returns are scanned, verified, and sorted automatically with intelligent workflows for restocking, repairs, or rejections.
Impact : Reduces return processing time and improves visibility in reverse logistics.
Usage : System auto-generates stock transfer tasks from bulk to picking zones based on predefined thresholds and sales velocity.
Impact : Prevents pickface stockouts and maintains continuous order readiness.
Usage : Smart dashboards track picker performance, task time, idle time, and real-time shift allocation.
Impact : Increases accountability, prevents overstaffing, and boosts team output.
Usage : AI recommends optimal bin locations for inbound goods and fastest picking paths for outbound shipments based on SKU velocity.
Impact : Reduces pick/put time, minimizes walk paths, and improves order turnaround time.
Usage : Monitors energy usage, material waste, and CO₂ impact of warehouse operations with visual dashboards.
Impact : Supports green initiatives, compliance, and eco-efficiency.
The system tracks product lifecycle stages, alerts on aging inventory, and assists with EOSS planning
A unified platform enables merchandisers to coordinate with buyers, planners, and store managers on assortment changes, promotions, and new launches