Player FM - Internet Radio Done Right
Checked 11M ago
Hozzáadva hét éve
A tartalmat a Jeff biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Player FM - Podcast alkalmazás
Lépjen offline állapotba az Player FM alkalmazással!
Lépjen offline állapotba az Player FM alkalmazással!
Podcastok, amelyeket érdemes meghallgatni
SZPONZORÁLT
Squid Game is back, and so is Player 456. In the gripping Season 2 premiere, Player 456 returns with a vengeance, leading a covert manhunt for the Recruiter. Hosts Phil Yu and Kiera Please dive into Gi-hun’s transformation from victim to vigilante, the Recruiter’s twisted philosophy on fairness, and the dark experiments that continue to haunt the Squid Game. Plus, we touch on the new characters, the enduring trauma of old ones, and Phil and Kiera go head-to-head in a game of Ddakjji. Finally, our resident mortician, Lauren Bowser is back to drop more truth bombs on all things death. SPOILER ALERT! Make sure you watch Squid Game Season 2 Episode 1 before listening on. Let the new games begin! IG - @SquidGameNetflix X (f.k.a. Twitter) - @SquidGame Check out more from Phil Yu @angryasianman , Kiera Please @kieraplease and Lauren Bowser @thebitchinmortician on IG Listen to more from Netflix Podcasts . Squid Game: The Official Podcast is produced by Netflix and The Mash-Up Americans.…
Retail Operation Enhancement
Manage episode 190425808 series 1526088
A tartalmat a Jeff biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
AI can take multiple variables that affect retail operation from pos data to weather to estimate demand and inventory with accuracy. This enhances supply chain operation reducing delivery time.
…
continue reading
111 epizódok
Manage episode 190425808 series 1526088
A tartalmat a Jeff biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Jeff vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
AI can take multiple variables that affect retail operation from pos data to weather to estimate demand and inventory with accuracy. This enhances supply chain operation reducing delivery time.
…
continue reading
111 epizódok
Minden epizód
×This is a new series on Consumerism and technology. Amazon Go stores are open now which shows a staggering feat of technology. Understanding consumer pain points is key to acquiring customers. Till now companies used search results and text to model consumer behavior pattern. Now recognizing patterns in video is easier and gives more insight to buying preference. Thanks Listening.…
Marketing space is changing with the advent of voice and AI. Placing an ad on Facebook or on social media isn't enough. Its about finding patterns in your data and what your consumer prefers.
Consumers are looking for better option and leave lot of information that businesses aren't picking up when they shop around.
Consumers react to pricing and other variables in the economy. By gauging those changes their behavior can be influenced to buy more products. With machine learning the advantage evaluating factors that can affect sale is a big win. Better analysis leads to better solution.
Pricing is a big variable in analyzing consumer demand. Factors that needs to be considered are Fuel prices, basket of 150 products that are used by the consumer on a monthly basis, inflation, CPI, Unemployment, new movie, holiday season, insurance renewals, healthcare, etc. These variables stifle capital that could have been spend in ecommerce or your product. Demand is predicated on these variables as well.…
Voice platform is pretty new and has the potential of android market. World is moving from text based engine to a voice based.
Amazon recently introduced subscription for alexa skills. That signifies a big volume of customers using the platform. Apparently amazon owns 70% of market share in voice space through strategic partnership, Acquisition and open sourcing. They acquired customers through every move.
Ecommerce sites could recommend products of search results most clicked or add to cart product to consumer thereby enhancing sales. Finding what the consumer wants is the game.
How search results are arranged and position of the products matter. They can arranged based on best seller and most click. Positioning of products in website. Ranking product based on how often consumer react to search
Having a great offer and pricing influences customers but lack of capital stifles them. The way around for retail, Grocery and ecommerce store is to have a strategic partnership with credit card companies to give cashback and offers on credit cards so it entices the customers to use it today to grab the advantage and pay back later.…
Consumer react to every offer, discount and pricing differently. So analyzing their behavior helps to evaluate sales and identify new preference of the consumer to recommend product that will bring value to consumer.
Demand is dependent how consumers react to different variables that affect them daily from Fuel prices, pricing of basket of products that are purchased weekly like Grocery and food, unemployment, CPI, availability of capital - Credit card offers and cashback.
Subscription model to discover food taste by sending 5 to 10 curated food products. Recognizing pattern by which consumers react with machine learning models to curate food and identify taste buds & change in taste over a period of time. This opens up platform to recommend restaurants that might have similar taste or complimentary one.…
By taking point of sale data and factor that influence customers like fuel price, CPI, unemployment, climate, promotion, depth of discount, pricing etc we evaluate demand and inventory requirement with higher accuracy for perishable products that has a shorter shelf life. Overstocking will not work here, so good model to evaluate metrics is needed. Machine learning has a great solution…
Consumer behavior analysis enhances sales for ecommerce environment. Trying different variables helps in finding consumer behaviors.
Üdvözlünk a Player FM-nél!
A Player FM lejátszó az internetet böngészi a kiváló minőségű podcastok után, hogy ön élvezhesse azokat. Ez a legjobb podcast-alkalmazás, Androidon, iPhone-on és a weben is működik. Jelentkezzen be az feliratkozások szinkronizálásához az eszközök között.