The face of retail is changing at a faster pace than ever before and it’s shaking up the retail industry more than ever before - but how can Data Analytics help?

WHAT'S IT ALL ABOUT?


The face of retail is changing at a faster pace than ever before and it’s shaking up the retail industry more than ever before. The introduction of mobile and online channels have meant that retailers have had to move away from the traditional bricks and mortar model and embrace the world of digital.

Convenience has taken precedence in the industry. Customers expect to be able to browse on their mobiles during lunch, order online at home and then easily return unwanted purchases to their local store. But delivering this kind of seamless experience requires a great deal of agility across the supply chain.

Stock held for online sales channels is often managed in a different warehousing system to that of high-street stores, and for many retailers, unless there is close synchronisation between sales outlets, some stores will be left with too much stock, whilst others are left with too little.

On top of this, now it only takes a picture of a celebrity sporting a brand’s latest accessory on Instagram for the item to sell out in a few short days, or for a change in the weather to cause havoc to stock levels. Plus, there’s increasing pressure from online retail giants like Amazon, who continue to deliver on price and convenience.



The struggle to keep up in an ever-changing world

Such pressures have meant that some retailers simply haven’t been able to keep up, and this has sparked a domino-like effect across the industry, with mass job losses across the sector and retail giants closing their doors.

To survive, retailers now have to keep up with the ever-changing digital world and introduce synergy between their different sales outlets to produce a seamless omnichannel experience for customers.

It’s never been more important to ensure that demand planning and inventory are aligned, to make sure that sales forecasting is as accurate as possible, and having up-to-date information is crucial to ensure production decisions are appropriate.

The issue is, many retailers continue to extract critical information about their different channels from disparate IT systems, often using spreadsheets to combine and manage that data. This approach is limited, as it simply won’t give retailers a realistic picture of their business, meaning that accurate planning across all channels is unlikely.

By obtaining individual purchase data through printing unique codes on packaging, it’s possible to track customers’ real-time behavioural and purchasing habits.

Simply put, companies can discover everything from how many times a day a consumer brushes their teeth, to knowing the exact time they usually eat lunch. Utilising big data has even enabled FMCG giants like Unilever to pick up customers’ location to tell whether they purchased during their hectic daily commute to the office, or during the even more hectic weekly shop with the family.

Through individual purchase data, FMCG companies are able to clearly separate fact from fiction and look beyond surveys, to truly understand how their customers behave. The process of linking promotions to individual purchase data allows brands to create intelligent promotions which are tailored to a specific customer in real-time.

Because promotional activity is geared around the individual rather than the masses, the task of getting customers to engage with promotions becomes all the easier. This personalised customer experience equates to tonnes of brand loyalty, often with nice sales figures to go with it.

One leading FMCG company is currently using this approach to generate a 74% increase in sales compared to their typical frequency of purchase. Similarly, Anchor Butter saw a 50% increase in active customers due to their highly relevant and responsive content, snagging them the IPM Gold Award for long-term loyalty.



Data Analytics gives retailers the power to harness the omnichannel experience

Data analytics bridges this gap by providing retailers with the ability to view their entire inventory in real-time, giving them a 360 view on their sales position and stock levels. Retailers can also deal with increasing expectations by monitoring shipping, improving warehouse processes and fulfilling orders through any channel. This prevents out-of-stock disasters or logistics issues and gives retailers the time to better serve their customers.

Implementing an analytics solution that’s integrated with all warehousing and point of sale systems provides a single dashboard with full visibility across the business. This enables managers to react to changes in consumer demand and forecast more accurately. By combining historical data from each channel into a single area, what-if scenarios can be carried out across all channels rather than treating one in isolation.

In addition to this, retailers can view their costs at a granular level, right down to day-by-day expenditure so that they can remove unnecessary spend and reinvest in the areas that provide the highest ROI. 

Access to such capabilities is essential for retailers to be responsive to their consumer's needs, and this in-turn is allowing more and more retailers to provide an omnichannel customer experience.

The retail sector is moving in a direction where it will soon become a must for retailers to embrace a customer-focused omnichannel business model. Customers expect more than a catchy tagline boasting about customer experience and competitive pricing – they expect retailers to live this out – and to do this, implementing data analytics into the wider business strategy is essential. Many retailers are gradually beginning to understand the power of this, but those who recognise this early on have a significant advantage over their competitors.

Discover how Data Analytics can help your retail business.

Laura Timms


Laura Timms is Product Marketing Manager at MHR Analytics. With a background in Psychology, Laura has carried out research into the Retail sector to reveal market and industry trends, and has managed research and strategy for business technology products for the past three years.

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