In the retail business, you need more than just gut feelings to do well. They also need to stay up to date. And making decisions quickly. Analytics in the Cloud are now at the centre of a successful retail business. They help leaders deal with changes in demand, keep track of inventory, and give customers a good experience.

Our consulting services are for stores that want to be flexible, grow, and learn more. We move siloed systems to a cloud data lake to help retailers get the most out of AI-driven forecasting and advanced analytics. We do this by aligning the shop forward, e-commerce, and supply chain to have the biggest effect on the business.

Why should you work with us to change your retail cloud?

• Cloud migration that is tailored to the needs of retail businesses from start to finish.
• Live tracking and analysis of inventory linked to channel stores.
• Thanks to AI, you can use demand forecasting to make sure your shelves are always stocked just right.
• Dashboards that are easy to use for quick team decisions.
• In sync with systems for point-of-sale and the supply chain.
• Architecture that can grow safely to fit new markets and ways of doing business.
• Use cloud-based forecasting analytics to keep making money by stopping a slow-moving SKU from draining your profits.

A big store with hundreds of locations and an online marketplace for e-commerce had trouble with old data that was spread out. Because of chronic overstock and slow inventory turnover, a lot of growth and profit margin opportunities are being missed.

Our Commitment.
A group of cloud consultants did a multi-phase transformation that brought together information and helped businesses make better decisions.

Migration of the cloud data lake from start to finish and unified analytics.
We moved years’ worth of inventory, sales, and supply chain data from hundreds of different systems into a secure cloud data lake. Retail managers can now see everything they need to know about inventory health, sales speed, and out-of-stock risk across all channels in real time.

The system doubled the turnover of inventory, and you can use any device from anywhere because every day’s decision is based on one source of truth.

Use AI to predict demand and make the most of your inventory.
Customised AI models can look at real-time POS data, historical product data, and outside signals to guess how much of each product will be needed in each region, store, and season. When the level of floor stock drops, it automatically orders more. An assortment optimisation engine suggests the best mix of products for each location.

The result.
There were 41% fewer stock-outs. The variety of the product continuously optimize resulting in lower markdowns and higher full-price sales.

Custom consumer insights and marketing automation that can be changed

We designed a customer analytics platform that collects instore interaction data, ecom experience data and loyalty program data on the cloud. By using AI segmentation and predictive models, the platform allowed for targeted, personalized campaigns that offered customers the ability to adjust their offers based on merchandise that was real-time available to them and their shopping preferences in the personalization.

Automated marketing campaigns were linked with CRM systems to send out tailored offers.

The marketing and merchandising teams reacted quickly to the payoff and risk of new trends and shoppers’ inventory, thanks to feedback loops in real time.

Result.
Improved customer engagement rates by 35% as well as an increase in promotional ROI of 28% drives stronger conversion rates and maximizes revenue without risking overstock.

Business Outcomes Achieved.

• The inventory turnover in this establishment increased by a factor of two. This helps them implement new products faster.
• 41% reduction in stock-out that has raised customer satisfaction and loyalty.
• Merchandising is fully optimized and adapts to trends quickly.
• The online and offline teams collaborated much better to unlock true omni-channel agility.