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/// retail & multi-location

Waste adds up faster than anyone tracks it.

Food expires on shelves while the same items get reordered somewhere else. Too much in one region, not enough in another. Without per-store demand signals, waste is built into how you operate. Even a 1% reduction across a large chain saves millions annually.

1.4%
avg wastage rate tracked
per-store
daily waste visibility
40%
faster anomaly detection

Where waste hides

Waste is not just expired food. It is overstock that gets marked down, inventory that sits too long and loses margin, and perishables that spoil because a cooler drifted 8 degrees and nobody noticed. The data exists across POS, temperature sensors, and inventory management. Nobody connects it until the quarterly P&L arrives.

The demand forecasting gap

Inventory systems set reorder points as static numbers. They do not know that Store #412 sells 3x more berries in July than January, or that a local event changes demand for a weekend. Without per-store demand forecasting that adapts to patterns, you are always ordering based on averages that do not match reality.

How askotter reduces waste

askotter connects POS velocity, inventory levels, cooler temperatures, and seasonal patterns per store. Agents learn what normal demand looks like for each location and flag anomalies. When produce waste jumps 40% at Store #412 because a cooler temp drifted, maintenance gets routed before $8K in spoilage. When berries are overstocked in one district and understocked in another, the imbalance is visible in real time.

/// what askotter catches

Real-time detection in action.

Store #412 Denver: Produce wastage +40% vs 7-day avg. Cooler temp drifted to 48°F (threshold: 40°F). Maintenance routed. 18 min ago
natural language query
"What is causing the waste spike in District 4?"
Produce waste is up 34% in District 4 over 2 weeks. The cause: 3 stores got a bulk berry shipment timed for July 4th, but demand peaked 4 days earlier than last year. Suggestion: switch to just-in-time ordering for perishables during seasonal periods.
Sources: Inventory + POS + Historical Sales
/// metrics that matter

KPIs this pain point directly impacts.

Understanding these metrics helps you measure the problem and track improvement. Each links to our full glossary definition with formulas, benchmarks, and role-specific context.

GM%
Gross Margin
Gross Margin measures the percentage of revenue remaining after subtracting the direct cost of delivering the product or service (Cost of Goods Sold). For SaaS companies, COGS typically includes hosting infrastructure, customer support, and professional services delivery. Gross margin is the foundation of all other profitability metrics and determines how much revenue is available to fund growth, R&D, and overhead.
COGS
Cost of Goods Sold
Cost of Goods Sold (COGS) represents the direct costs attributable to delivering a product or service to customers, sitting directly below revenue on the income statement to calculate gross profit. For SaaS businesses, COGS typically includes cloud hosting, third-party API costs, customer support, and professional services delivery. COGS directly determines gross margin.
INVENTORY-TURNOVER
Inventory Turnover
Inventory Turnover measures how many times a company sells and replaces its inventory during a given period, indicating how efficiently it is managing stock relative to sales volume. A high turnover ratio means inventory is selling quickly and capital is not tied up in excess stock. A low ratio can indicate overstocking, slow-moving products, or declining demand. It is primarily used by e-commerce, retail, and product businesses.
OER
Operational Efficiency Ratio
Operational Efficiency Ratio (OER) measures the cost of running operations relative to the revenue those operations generate, expressed as operating expenses divided by net revenue. A lower OER indicates that the organization is generating more revenue for each dollar of operational spending. It is used across industries to benchmark how efficiently an organization converts operational investment into output.
/// related challenges

Other retail & multi-location pain points askotter solves.

/// get started

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