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In our clients’ own words
The platform’s ability to deliver rapid value through dynamic module interaction and sophisticated AI forecasting will future-proof our business, ensuring we remain at the cutting edge of retail innovation.
“Our planners immediately recognized that Impact Analytics understood the realities of retail planning at scale. The opportunity to move from spreadsheet-driven, line-by-line planning to an exceptions-management model is a significant step forward.”
“This partnership allows us to eliminate repetitive, low-value tasks so our merchandisers can focus on understanding what is truly happening in our brand and make quicker, higher-quality decisions to get the right products in the right places for our customers.”
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AI for fashion retail uses artificial intelligence to improve decisions across demand forecasting, merchandise planning, assortment, sizing, inventory, pricing, promotions, and markdowns. Impact Analytics connects these decisions through autonomous orchestration so each function works from the same view of demand.
AI-powered fashion demand forecasting combines historical sales with recent demand signals, product attributes, seasonality, pricing, promotions, and other causal factors. This helps retailers identify changes in demand earlier and forecast at granular levels such as SKU, store, channel, and week.
AI assortment planning analyzes demand and product performance across stores and channels to determine which products each store group should carry and how much depth to place behind them. This creates localized assortments rather than applying one range across every location.
AI size optimization analyzes how individual sizes sell by style and location rather than relying on chain-wide averages. Size curves can then reflect local demand, helping retailers reduce stockouts in high-demand sizes and excess inventory in sizes selling more slowly.
AI helps retailers identify inventory risk earlier, position stock where demand is strongest, and adjust pricing and markdown timing based on sell-through and remaining weeks in the season. This gives teams more opportunities to correct inventory imbalances before deeper markdowns become necessary.
Autonomous orchestration connects AI Agents across forecasting, merchandising, assortment, inventory, sizing, pricing, promotions, and markdowns. When demand changes, the agents coordinate the decisions affected by that change against one connected plan, while human teams retain control over the exceptions and approvals that require their judgment.
Impact Analytics provides AI-native solutions for demand forecasting, merchandise and item planning, assortment planning, size optimization, inventory optimization, pricing, promotions, markdowns, and product attribution. These solutions work together through autonomous orchestration rather than operating as isolated planning tools.
