Retail allocation is a constrained decision problem. A shipment can be inappropriate when an item is outside a store assortment, shelf space is full, warehouse reserve must be retained, pack multiples are not respected, or stock is already in transit. The client needed one released product that could turn fragmented operational data into per-store shipment plans, preserve the business meaning of BAS 1C data, explain every line decision, support governed policy changes, and execute documents safely despite retries and changing source data. AI had to assist seasonal planning without making silent operational changes.
AI-Assisted Web Platform for Product Allocation Across Retail Stores
A Ukrainian household-goods retailer operating a central warehouse and a network of stores needed a consistent, explainable way to allocate products across locations.
Country:
Ukraine
Services:
Industries:
Retail
Technologies:
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The Challenge
Accelerate ahead of competitors with machine customer capabilities, agentic commerce and AI-native systems built from the ground up for autonomy and scale
The Solution
Clover Dynamics delivered a retail allocation platform that turns warehouse and store data from BAS 1C into controlled store-level shipment plans. A canonical retail model isolates ERP transport details, while a deterministic engine applies demand, stock, assortment, shelf capacity, packaging, reserve, and coverage rules. Calculation and release are separated, with validated drafts, idempotent delivery, an outbox, and ERP reconciliation protecting execution.
AI is integrated as a human-governed seasonal-planning assistant. It interprets eligible category sales profiles with Ukrainian retail-calendar context and returns a structured recommendation for seasonal windows, shelf facings, confidence, and rationale. Every proposal is validated and remains pending until a category manager accepts or rejects it; allocation continues deterministically if AI is disabled, unavailable, or invalid.
The Features
Polytsia — AI-Assisted Seasonal Shelf Planning
Polytsia — Explainable and Governed Decisions
Polytsia — Store-Level Allocation Workspace
Polytsia — BAS 1C-Connected Operations
The Result
- 01
Category and allocation managers can calculate drafts, inspect exceptions, review AI seasonality proposals, adjust governed policy, and release ERP-bound documents in one consistent flow.
- 02
Explicit allocation rules, decision provenance, separation of duties, and an audit trail make every quantity and policy change explainable.
- 03
Idempotent delivery, an outbox, validation, and reconciliation protect BAS 1C document execution against retries and changing source data.
- 04
Full case study
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