Automated, constraint-aware orders
Daily proposals per SKU and location that already respect MOQ, MOV, lead times, shelf life and capacity.
Good forecasts are worthless if the daily order still gets built by hand. We connect forecasting, inventory policy and logistics constraints into one process that produces order proposals your team can trust.
The result: automated ordering, stock balanced intelligently across DCs and stores, and planners who spend their time on decisions rather than data entry. Powered by VERITICO STOCK.
Daily proposals per SKU and location that already respect MOQ, MOV, lead times, shelf life and capacity.
Allocation that understands DC and store roles, demand and sales potential — not just static min/max levels.
Availability around 98–99% while the capital tied up in inventory goes down, not up.
Keep fresh and seasonal goods on the shelf without write-offs and end-of-life fire sales.
Up to 60–80% of manual ordering work disappears; the team concentrates on exceptions and strategy.
A single platform for demand, inventory and replenishment, with clear KPIs and auditable logic.
Make replenishment and allocation a predictable, automated process — at any network size.
Talk to an expert →We have spent more than 20 years applying AI and advanced mathematics to supply chain problems, and we are deliberate about where it belongs. AI genuinely improves decisions in areas like demand sensing and multi-constraint order optimisation. In other places, simpler and more robust methods win — and we will say so.
VERITICO, our AI-driven platform for inventory, pricing and promotion, is trusted by more than 80 companies and has been developed continuously for two decades. Every customer uses AI within the platform, and a significant share of product revenue goes straight back into R&D. VERITICO is listed in the Microsoft Azure Marketplace and has been ranked by Gartner among the leading solutions globally.
VERITICO STOCK combines statistical models, machine learning and neural networks, automatically selecting the best forecasting model per item and correcting through demand sensing when recent sales diverge from long-term patterns.
For replenishment, it converts those forecasts into intelligent order proposals that respect logistics constraints such as MOQ, MOV and supplier lead times. It supports portfolio segmentation, expiry management, promotional impact and automated order export into your ERP or WMS — giving you higher availability, lower stock and a replenishment process that can be audited line by line.
Explore the VERITICO platform →
Ordering process automated for 150+ stores — availability up and management time down.
+2.13% availability · −1h per location Show full case study →
EMOS consolidated planning on VERITICO to automate forecasting and ordering across 1,300+ products.
98% availability · −17% stock working capital Show full case study →
Store replenishment automated with VERITICO Stock — on-shelf availability above 98% with less manual effort.
98%+ availability · Stabilised inventory Show full case study →
Centralised AI-driven replenishment with VERITICO STOCK — turnover faster, branch managers freed for higher-value work.
−15% turnover time · 2–3h/day per branch Show full case study →
VERITICO Stock enabled centralised, data-driven replenishment across 90,000+ SKUs — service levels up across the network.
90k+ SKUs centralised · service levels up Show full case study →
Better forecasting, seasonal planning and automated replenishment lifted availability and sped up stock turnover.
+3% availability · Faster turnover Show full case study →
VERITICO STOCK deployed across a national pharmacy network — automated ordering and optimised delivery schedules.
+5% revenue · +4% availability · 2h saved per pharmacy/day Show full case study →
Since 2017, a unified platform automating inventory and ordering across 300+ stores — one source of truth, fuller shelves, fairer prices.
Platform live across 300+ stores Show full case study →
Replaced manual order management with VERITICO Stock and Price — fuller shelves and better-planned promotions.
96% → 98% availability · −90% order time Show full case study →If your network is growing and manual ordering is the thing holding it back, we can turn replenishment and allocation into a predictable, automated process that supports higher availability, lower stock and healthier margins.