Talk to an Expert

    Joint business planning: stronger partnership through analytics & automation

    A smiling female shop assistant in an apron helps a male customer read a product label in a supermarket aisle lined with packaged goods, reflecting the spirit of joint business planning. They appear engaged and cheerful in a well-lit shop.

    = Summary: Ed Betts explores the difficulty and inequality of legacy joint business planning, and reveals the ways in which retailers can revolutionise the practice

    Retailers and suppliers plan in very different ways, because they run very different businesses. Suppliers typically look for certainty and efficiency, given the pressures of production runs and supply chain logistics. Retailers need certainty, too, but must also be able to respond to market dynamics quickly. They need good margins, tight stock control, and solid profit.

    Both sides agreeing to a joint business plan (JBP) can help put these goals into focus, but the moving parts of a JBP, the people, products, and promotions they are built around, can make the process stressful, prone to errors, and often lopsided. That’s the opposite of what a JBP should achieve. If there is no partnership, there is no point to making a JBP at all.

    Emphasising the ‘joint’ aspect of a joint business plan is crucial. If both parties know each other well, they can adapt their offering to match the capacity and needs of the other. A well-managed JBP – or multiple, in some cases – marks the path to successful partnerships and incremental volume growth.

    The rocky road to establishing a JBP

    JBPs are traditionally difficult because they’re resource heavy. They must be carefully managed and controlled if a dividend is to be achieved for both sides, and offer clear and consistent terms from the outset. Suppliers really just want to work with retailers that are easy to do business with, and a complex or unclear JBP could have the opposite effect.

     A good plan needs to look ahead, tying supplier efforts to retailer activities sometimes twelve months in advance. Intricate financial terms must be agreed. Compliance must be considered. All while a JBP must remain fluid enough to weather personnel changes and the renegotiation which may accompany new staff with new ideas.

    This changeable and fragile structure means retailers must align with suppliers and between their own internal departments. If just one key element of a JBP misfires, or the plan is inflexible enough to meet the demands of market dynamics, it could crumble.

    The new shape of JBP management

    Establishing JBPs demands sharp planning, clear communication, and united data. Although retailers could certainly attempt to follow the processes they have established over the past decades, these legacy systems are far from ideal. They are slow, brittle, and difficult.

    The rise of technology, though, offers retailers a better route forward. Consolidating data and employing the power of predictive AI unlocks a set of tools which can help smooth the sharpest corners of JBP management, create consistency and clarity, and unite suppliers and retailers in confidence around the way plans are being managed.

    Past, present and future

    Merging inter-department data creates a single source of truth which, in turn, enables complex, guardrailed automations which streamline and speed up common tasks. Reacting to JBP changes is as critical to their execution as establishing a clear baseline at their outset. With all parties working with the same data, this becomes far easier.

    In turn, the introduction of AI can provide a view of the future, working with external market data to make predictions. These might suggest new trends or products, for example, or reveal new efficiencies. AI-based forecasting can also ensure suppliers are fully aware of what a retailer will require, and reduce waste by preventing overstocking.

    Working together to improve

    The combination of big data and AI improves JBP outcomes for everyone. An internally united retailer is far less likely to miss a media opportunity or fall foul of price establishment regulations. Offering its suppliers a clear, accurate, and up-to-date picture of plans and expectations makes a retailer far easier to work with, and may inspire stronger relationships leading to better deals.

    None of this changes the desires of suppliers or retailers, but it does satisfy them without detracting from robust negotiations. Suppliers get that clear picture and solid plan they need. Retailers find the maximum efficiency allowing them to generate the most profit. And both do so with less effort, leaving them open to innovate. AI is a game changer – and it enables the advanced analytics, automations, agility, and insight-driven strategic decision making that will drive retail forward for the next decade and beyond.

    Unlock real-time supplier interaction and collaborative promotion planning: https://www.retailexpress.com/solutions/supplier-collaboration/

    More from News

    • Metcash Case Study

      AI (Artificial Intelligence) | Case Study

      Metcash Case Study

      How Metcash Transformed Promotions with Retail ExpressMetcash, the backbone of Australia’s largest independent supermarket network, needed to modernise its promotional planning to keep pace with consumer expectations and tough competition. Partnering with Retail Express, they launched Metproms—an AI-enabled platform that automated manual processes, improved forecasting, streamlined supplier collaboration, and scaled seamlessly across banners. The result? Faster, smarter promotions, stronger supplier partnerships, and a new standard in independent …

      Learn more
    • Redefining supplier relationships: the importance of analysis and automation in retail

      Category Management | Blog

      Redefining supplier relationships: the importance of analysis and automation in retail

      = Summary: Ed Betts discusses the potential for retailers to lose sight of their supplier interactions – and argues that it is time for a change of perspective and technique. Retailers sit between the economic forces of supply and demand. Profit is found in the balance between the pull of customers’ needs and the push of supplier priorities. But getting there is a chaotic, difficult process with …

      Learn more
    • The Golden Quarter: Planning for profit with intelligent merchandising

      AI (Artificial Intelligence) | Opinion Piece

      The Golden Quarter: Planning for profit with intelligent merchandising

      14 September 2022 | 3 min read By Ed Betts, UKI General manager 16 September marks the 100-day countdown to Christmas, also known as the Golden Quarter; the busiest period in the retail calendar. The Golden Quarter can be a difficult time for retail businesses, but this year presents a real challenge. The cost-of-living crisis, disruption to supply chains, the effect on global trade and freight costs …

      Learn more
    • Viewpoint: ONS reports a 0.5% drop in retail sales in GB in May ’22

      AI (Artificial Intelligence) | Blog

      Viewpoint: ONS reports a 0.5% drop in retail sales in GB in May ’22

      5th July 2022 | 2 min read By Ed Betts, UKI General Manager Last week’s news from the ONS highlighted the continuing impact of inflation with a fall of 0.5% in retail sales figures in May 2022. Retail Express appreciates the tough situation that many retailers are now finding themselves in. Our experience is that, in challenging times, customers will be more concerned about how they can …

      Learn more

    Download Whitepaper