Data-driven Stock Control: Bespoke Analytics for Optimised Operations
Keeping the right amount of stock is a balancing act.
Running out of stock can be costly, leading to lost sales and dissatisfied customers. However, holding excess inventory is equally expensive, tying up capital and storage space.
Our solution helps you optimise stock levels, ensuring that inventory is held in the locations where it is most likely to sell. This way, you minimise costs and maximise sales potential.
Predict sales.
Prevent stock-outs.
Optimise business operations.
Bespoke analytics to ensure efficient stock ordering
By leveraging data-driven approaches, businesses can anticipate future trends, optimise operations, and make informed strategic decisions. With forward-looking data and predictive analytics – efficient stock control has never been easier.
Reduced waste
Predictable costs
Demand forecasting
Elevate Customer Experience, Boost Sales
Customer satisfaction drives loyalty and repeat business. By using our stock control forecasts, you can maintain stock keeping units (SKU’s) at branches where they are most likely to sell – guaranteeing ongoing customer satisfaction.
Let’s help you create value for your customers, while driving sales.
Not enough stock for promotional demands?
During promotions, retailers prepare for massive sales. However, it’s also a time where businesses can incur unnecessary costs, reducing profit margins significantly.
Our data-driven stock control analytics helps you:
- Understand customer trends
- Analyse historical and forward-looking data
- Get early warning signs to re-order
- Automate stock ordering
- Save time time for strategic planning to get optimal pricing and ordering
Don’t let stock shortages derail your promotional efforts.
Don't just take our word for it...
Hear what Nando's has to say on CNN!
- Food waste prevention
- Staffing requirements for a specific timeframe
- Long-term budget planning optimisation
Streamline your inventory management with data analytics
The benefits
- Inform strategic decision-making: Use data to save time and boost revenue
- Reduce waste: Use predictive analytics to cater for demand – not more, not less.
- Avoid stock-outs: Use data to manage inventory levels and always have enough stock
- Actionable forecasts and analytics: Boost productivity and efficiency
- Optimise operational demands: Meet customer needs
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