Operations Intelligence Solutions
Implement machine learning model to optimize product and provide demand forecasting
AI-Driven Product Assortment
Product assortment model which recommends product mix for each store, in addition to assisting store managers in making the right decisions
Store B
Store A
Product Mix A
Product Mix B
Assortment Solution
Product Substitution
Provide a clear view by product category or overall sales potential to substitute products within the same group
From
To
Outcome
Furniture
Brand B
Furniture
Brand A
= +342 units (+ 0.5%)
Expected increase in units sold per week in Furniture_product_category
From
To
Light Bulb
Brand B
Light Bulb
Brand A
Outcome
= +1054 units (+ 1.2%)
Expected increase in units sold per week in Lightbulb_product_category
Product Mix Extension
Provide smart recommendations to expand product mix with maximal probability to increase sales revenue
From
Product Mix:
(A, C, F)
Product Mix:
(A, B, C, F)
To
Outcome
= +350 units (+ 0.8%)
Expected increase in units sold per week in product_category
Demand Forecasting
With Sertis, we can differentiate between patterns from promotion and from non-promotion periods.
Product
Quantities
Store n
Demand Forecasting Solution
With Sertis, we can capture unique patterns from special promotions in some products.
Different pattern from promotion and non-promotion
With Sertis, we can differentiate pattern from promotion and non-promotion periods.
Unique patterns from special promotions
Inventory Forecasting
and Optimization
Find the optimal stock level for each store-SKUs on a particular day
Store n
AI Ordering
Calculate ordering quantity and SKUs based on projected inventory level
Store A
Fraud & Anomaly Detection
Detect unusual user behavior to prevent fraud or possible misuse of a company’s services
KEY IMPACTS
Improve accuracy
We use various modeling approaches and consider all relevant factors when developing.
Learn continuously
The models will automatically learn from the new data, capture the changes and respond without the human bias.
Save time and resource
An automated forecasting system helps demand planners to save time and resources spent on manual forecasting.
Forecast at a more granular level
The models can forecast at the most granular level that the data is available.