Fewer stockouts, yet less inventory
Socrates calculates demand and order quantities at SKU level, across all channels. Socrates recommends, your planning team approves.
Companies planning with paretos
Bestsellers run out, slow movers pile up
Many retailers still plan demand and reorders in Excel, based on experience and gut feeling. That is error-prone and costs planners hours every week.
Many channels, many demand patterns
Wholesale, your own stores, the online store and marketplaces each have a different demand profile. A spreadsheet can barely capture that.
Long lead times
What you order today often arrives months later. A forecast error shows up late, and by then it is hard to correct.
Buffers instead of planning
Safety stock ties up capital. Even so, the items your customers actually want to buy end up missing.
From demand to approved order
- 01
Demand for every SKU
Socrates forecasts demand at SKU level, across all channels and sizes. The system detects shifts in demand automatically.
- 02
Order proposal with all constraints
Minimum order quantities, lead times and service-level targets go straight into the calculation. The result is a concrete order proposal.
- 03
Approval by your team
Your planners review the proposals, adjust them and approve them. Socrates recommends, people approve.
How sales become order proposals
Sales, inventory, your goals, rules such as minimum order quantities and your planners' experience are the basis of your ordering decisions. Socrates turns all of this into your Company Brain: company-owned, traceable and more valuable with every decision.
One run, using a fashion retailer as an example
Data arrives
Sales and inventory arrive through the existing middleware, for almost 2,000 SKUs in the never-out-of-stock assortment.
The proposal is calculated
paretos forecasts demand per SKU and calculates order quantities, with lead times of around six months.
The team approves
The team reviews the order proposals and approves them, almost at the push of a button.
Socrates
Planners & replenishment agent,
hand in hand
Your Company Brain
Minimum order quantities, lead times, service-level targets and your planners’ corrections in one place. Learns with every approval.
Agentic AI
Remembers every planner correction, for example on fringe sizes or seasons, and explains every order proposal.
Expert Engines
Forecasts per SKU, channel and size, turned into order quantities within your constraints. No LLM.
Extraction · Linking
Knowledge & signals
Seasons, returns and your planners’ experience
Connectors · Pipelines
Systems
ERP, middleware and marketplaces
Order proposals almost at the push of a button
A European fashion retailer with a never-out-of-stock assortment: these products have to be available at all times. Almost 2,000 SKUs, around six months of lead time.
Until the project started, the retailer's planning team planned these items in Excel. Today paretos calculates demand and order proposals, and the team approves them.
Stockout rate
5–6%
Before: 10%
Inventory
−12%
Manual planning
Around 10 hours less per week
Before: Excel from multiple sources
Order handover
Almost at the push of a button
Before: Weekly cycle, gut feeling
“For example, the system recommended ordering significantly more in fringe sizes.”
In the marketplace business, too
What your planning gains
SKU-level forecasts, down to the variant
Unified demand across all channels
Order proposals within MOQs and lead times
Integration with your existing ERP
Approval by your planning team
EU hosting, made in Germany
Frequently asked questions
Getting started and data
Planning and control
Check your potential
Would you like to know whether paretos is the right solution for you? Book a no-obligation consultation.