PEKON AI Inventory Optimization Engine

Three core differences. First, the engine diagnoses each individual store and auto-matches distinct replenishment strategies to different store tiers and product categories, whereas an ERP typically applies one rule set to all stores. Second, the engine does not stop at ordering suggestions - it covers transfers, clearances, returns, and other inventory actions. Third, it has built-in parameter self-calibration; ordering parameters are continuously refined based on execution results. In short: an ERP tells you 'what your inventory is,' the Inventory Optimization Engine tells you 'what to do about it - and gets more accurate the longer you use it.'

Five core data sets are required: product master data, store information, current inventory, recent sales transactions, and open purchase orders. Brands already using PEKON Smart Retail can connect these directly; brands on other POS or ERP systems can import via standard interfaces. In the early stage the system runs data governance first - automatically identifying active, slow-moving, and dormant SKU states, completing category ABC classification and store tiering, and establishing an accurate inventory view before diagnostics and recommendations are turned on.

Yes - store-level differentiation is a core design point. Ordering rules can be cross-matched by store attributes (type, region, tier) and product attributes (category, tag, SKU). For example, S-tier flagship stores can carry higher stock standards on Class-A best-sellers to guarantee fill rate, while C-tier satellite stores prioritize cash-flow control and a leaner SKU count. Ordering formulas themselves can be configured per store and per category, adjusted by implementation staff directly in the console - no developer required.

Six business scenarios ship out of the box, no custom development needed. For promotions, operators tag participating items 'Promo' and set a stocking multiplier (e.g. 2x); the system scales the sales estimate accordingly and generates matching replenishment orders, reverting to normal logic once the tag is removed. For supply-constrained hot SKUs, the system detects items where the total recommended volume exceeds central warehouse stock and rebalances allocations proportionally by each store's sales capacity, locking an order ceiling to prevent overcommitment.