With Wishibam, retailers regain control of their margins
Too much inventory in the wrong stores. Promotions rolled out across the entire network when only three locations actually need them. Decisions made on Monday for the entire week—even as the weather, the competition, and local events change in real time. The Wishibam yield engine analyzes the signals that matter and suggests the right action, in the right place, at the right time.
Yield management for retail is an AI-driven system for optimizing prices, inventory, and promotions. Unlike hotel yield management, it takes into account the unique challenges of brick-and-mortar retail: store networks, non-perishable inventory, and long-term customer relationships. Wishibam is the first software provider to apply this approach to the French retail sector.
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The Impact of Yield Management on Retailers
Inspired by the best hotel management software, the yield management system is a solution to the challenges retailers have faced since 2010.
Excess inventory
Unsold inventory costs money every day it sits on the shelves. Logistics costs, spoilage, and shrinkage. Overstock results from poor coordination between the supply chain, sales, and production—and it quietly piles up until an emergency sale is launched to wipe out the profit margin.
Misallocation
The inventory exists: it’s just in the wrong place. Brands buy too much of a product that won’t sell, and not enough of the one that will be a huge hit. While a store is out of size M, the regional warehouse has 200 units in stock.
Blind promotions
A store-wide promotion was launched to clear out local excess inventory. The result: high-performing stores are sacrificing their profit margins to solve a problem that isn’t even theirs. Training customers to wait for the next sale is the last thing a retailer should do—and yet that’s exactly what happens when decisions are made en masse.
Manual decisions
Retail managers compile spreadsheets, compare figures from the previous week, and call store managers. Meanwhile, it’s raining in Lyon, the competitor across the street has just cut prices by 15%, and a sporting event is set to bring 40,000 visitors to the area this weekend. None of this information is in any Excel spreadsheet.
AI that picks up on signals you can't monitor on your own
The Wishibam yield engine continuously aggregates internal data and external signals. It does not replace the retail manager; rather, it gives them a one-step lead over the competition.
Internal signals
- Sales velocity by SKU and by store
- Real-time inventory levels
- Transaction Margin History
- Seasonality specific to each brand
External signals
- Real-time competitor prices
- Weather Forecast by Region
- Local events (sports, cultural, fairs)
- Economic indicators
What the manager receives
- A practical suggestion: not a report
- Not another dashboard
- A specific recommendation:
- Which product, which store, which strategy, why now
The retail industry finally has access to smart software that allows it to adapt its strategy in real time
The Local Event
A regional marathon is scheduled for Saturday, 8 km from the store. The system detects the event, cross-references it with the inventory of running shoes, and compares prices with competitors in the area. Suggestion: a 3-day flash sale on the running category, limited to just the two stores involved. The manager approves it with a single click.
Off-season weather
A heat wave is forecast for April in the Southeast region. Summer clothing inventory is in place, but sales are slow. Suggestion: Increase digital visibility and adjust prices on key items in the four stores in the area. The other stores are not affected.
The misplaced inventory
A model is in excess stock in Bordeaux but out of stock in Nantes. The system detects the inventory discrepancy and suggests an inter-store transfer before initiating any sales actions. Profit margins are maintained.
A system that adapts to your organization
Sign
You have the data, you have the rules. The engine reads them, applies them, and makes suggestions. Your retail managers retain control over every decision: AI gives them a head start over the competition and helps them navigate the challenges on the ground.
Franchise network
A retail chain often makes business decisions based on the expertise of its buyers and the intuition of its management team. The Wishibam platform provides the missing element of rationality: real-time sales velocity data by store, objective external indicators, and tailored recommendations. Each franchisee becomes fully autonomous, and the corporate headquarters finally gains a consolidated and actionable overview.
Outlet and shopping center
The outlet does not manage the inventory of its individual stores, but it is responsible for the center’s overall performance. The Wishibam platform aggregates inventory movements from each store to identify, in real time, best-sellers, products that aren’t selling, and missed opportunities. The center’s performance is no longer simply the sum of individual performances; it becomes a strategically managed operation.
See the engine in action in your environment
Upload your data: inventory, sales history, store inventory. We’ll show you what the algorithm would have suggested over the past 90 days.
Request a demoWhat our customers are asking for
Answers to frequently asked questions about the Wishibam yield management engine.