Create intelligent sales orders in the market

Sell the right products in the right quantities with Bizom Suggested Order

See how to predict the right products for each store

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Simplify in-store ordering in smarter ways with best-in-class Assortment Planning tool

Right Ordering

Predict the next right order for every outlet

Smart Selling

Let AI identify the best SKUs automatically and optimize the sales reps’ time

Optimized Stocking

Predict new SKU sales to help sales reps increase brand portfolio

Boost Revenue

Increase sales of overall product lines

Omit Stockouts

Decrease out-of-stock situations at every outlet

Amplify orders by blending AI model for demand forecasting

Lower tertiary
denials

Improved demand estimation

Improved brand’s
drop size

Increased line placement

Step up your order-taking game with intelligent retail execution.

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retail intelligence

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Frequently Asked Questions (FAQs)

Suggested Order is a retail intelligence solution that leverages intelligent algorithms to predict and create optimal sales orders. It ensures that the right products are ordered in the right quantities, tailored to each outlet’s needs.
Suggested Order simplifies in-store ordering by predicting the next right order for each outlet. It utilises AI and machine learning to identify the best products (SKUs) automatically, optimising sales representatives’ time and ensuring that outlets have the right inventory at all times.
Suggested Order predicts new SKU sales, enabling sales reps to increase their brand portfolio strategically. By offering insights into which SKUs to stock, it maximises sales opportunities and helps outlets cater to customer preferences.
By recommending the right products and quantities, Suggested Order boosts overall sales revenue and minimises the chance of out-of-stock situations. This ensures that outlets have a steady supply of products to meet customer demand.
Suggested Order leverages advanced AI models for demand forecasting. These models consider historical data, market trends, and other factors to generate accurate predictions of future demand.
Tertiary denials, caused by inadequate stock levels, are reduced with Suggested Order. By ensuring that outlets have the right products in stock, it minimises denials and enhances customer satisfaction.
Suggested Order improves demand estimation by analysing various data points to predict future sales accurately. This enables businesses to align their inventory with customer demand.
The recommended orders generated by Suggested Order contribute to a more accurate drop size for each outlet. This eliminates overstocking or understocking, optimising inventory management.
By recommending the best SKUs for each outlet, Suggested Order increases the likelihood of these products being ordered. This leads to increased line placement and a broader product range available to customers.
Suggested Order elevates retail execution by ensuring that orders are precise, timely, and based on data-driven insights. It optimises the entire order-taking process, leading to improved sales efficiency and customer satisfaction.

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